Education

Ph.D. Industrial Engineering and Management, Yuan Ze University, Taiwan, Aug 2001- Sep 2006.

M.S. Information Management, Ming Chuan University, Taiwan, Aug 1998- Jan 2001.

Founding Chairman ICMHI. ICHSM. HBAAI. JEBMI. MDSAT. ISMDS. DsiM

International Conference on Medical and Health Informatics (ICMHI) in 2017 www.icmhi.org

International Conference on Healthcare Service Management (ICHSM) in 2018 www.ichsm.org

Health Bigdata Analytics Artificial Intelligence Forum (HBAAI) in 2018 HBAAI

Joint Executive Board on Medical Informatics Taiwan (JEBMI) in 2018 JEBMI

Medical Decision Science Association of Taiwan (MEDSAT) in 2022 www.mdsat.org.tw

International Symposium on Medical Decision Science (ISMDS) in 2023ismds2023

Decision Science in Medicine (DsiM) https://rasayely-journals.com/index.php/dsim

Research Contributions

Machine Learning in Prediction of Second Primary Cancers and Recurrent cancers/ Bioinformatics

Predict Glaucoma development before disease onset/ Digital Traditional Chinese Medicine (TCM)

Risk Prediction for Early Chronic Kidney Disease (CKD)/ Posttraumatic Growth (PTG)

Shared Medical Decision Making (SMDM-TRUST-REGRET-CONFLICT)/ Quality of Life (QoL)

Clinical Operational Research/ Healthcare Service Innovation and Management (HSM)

Journal Editors

Editor-in-Chief Decision Science in Medicine (DsiM)

International Journal of Medical Sciences (SCI)‧Therapeutics & Clinical Risk Management (SCI)

Frontiers in Genetics (SCI) ‧ Journal of Universal Computer Science (SCI)

Open Medicine (SCI) ‧ International Journal of Computers and Applications (EI/ Scopus)

Journal of Quality (EI/Scopus) ‧ Journal of Computing Science and Engineering (EI/ Scopus)

Intl Journal of Business and Systems Research (EI/ Scopus) ‧ ACM (EI/ Scopus)

Intl Journal of Management, Economics and Social Sciences (EI/ Scopus)

Journal of Electronic Science and Technology (INSPECT/ Scopus)

International Journal of Environmental Research and Public Health

Journal Papers

• Kao, H.-Y., Chang, C.-C., Lai, C.-H., Chen, I.-F., Lee, C.-H., Chan, C.-L., Ting, W.-C., & Lu, Y.-C. A. (2025). A theory-based study on the vaccination behaviors of breast cancer patients during the COVID-19 pandemic in Taiwan. Psycho-Oncologie, 19(1), 3605. https://doi.org/10.18282/po3605

• Jiun-Yi Hsia, Chi-Chang Chang*, Ying-Chen Chen (2024). Risk Factors Predicting Rectal Cancer Recurrence by machine learning model. Chung Shan Medical Journal.

• Frank Cheau-Feng Lin, Chia-Jung Wei, Zhe-Rui Bai, Chi-Chang Chang and Ming-Chuan Chiu*, Developing an explainable diagnosis system utilizing deep learning model: a case study of spontaneous pneumothorax, Physics in Medicine & Biology, DOI 10.1088/1361-6560/ad5e31. (SCI)

• Tsu-Wang Shen, Ming-Chun Tsai, Ting-Mao Chen, Chi-Chang Chang*, Photoacoustic method for measuring the elasticity of polydimethylsiloxane at various mixing ratios, Heliyon, Volume 10, Issue 11, 2024, e31726, ISSN 2405-8440, https://doi.org/10.1016/j.heliyon.2024.e31726. (SCI)

• Chen CC, Wei CJ, Tseng TY, Chiu MC, Chang CC. Applying Object Detection and Large Language Model to Establish a Smart Telemedicine Diagnosis System with Chatbot: A Case Study of Pressure Injuries Diagnosis System. Telemed J E Health. 2024 Mar 21. doi: 10.1089/tmj.2023.0715. Epub ahead of print. PMID: 38512470

• Ming-Chuan Chiu, Stella Chin-Shaw Tsai, Zhe-Rui Bai, Abraham Lin, Chi-Chang Chang, Guo-Zhi Wang, Frank Cheau-Feng Lin, Radiographic chest wall abnormalities in primary spontaneous pneumothorax identified by artificial intelligence, Heliyon, Volume 10, Issue 9,2024, e30023, ISSN 2405-8440, https://doi.org/10.1016/j.heliyon.2024.e30023.

• Chen, Chun-Chia, Wen-Chien Ting, Hsi-Chieh Lee, Chi-Chang Chang, Tsung-Chieh Lin, and Shun-Fa Yang. 2024. "A Cost-Effective Model for Predicting Recurrent Gastric Cancer Using Clinical Features" Diagnostics 14, no. 8: 842. https://doi.org/10.3390/diagnostics14080842

• Tsai, M.-C.; Lojanapiwat, B.; Chang, C.-C.; Noppakun, K.; Khumrin, P.; Li, S.-H.; Lee, C.-Y.; Lee, H.-C.; Khwanngern, K. Risk Prediction Model for Chronic Kidney Disease in Thailand Using Artificial Intelligence and SHAP. Diagnostics 2023, 13, 3548. https://doi.org/10.3390/diagnostics13233548

• Chu YW, Chang CC. Editorial: Using physical & genomics markers for smart therapy via expert systems with computer learning. Front Genet. 2023 Nov 28;14:1336399. doi: 10.3389/fgene.2023.1336399. PMID: 38090152; PMCID: PMC10715404.

• Lee, H.-C.; Lin, T.-C.; Chang, C.-C.; Lu, Y.-C.A.; Lee, C.-M.; Purevdorj, B. Clinical Risk Factor Prediction for Second Primary Skin Cancer: A Hospital-Based Cancer Registry Study. Appl. Sci. 2022, 12, 12520. https://doi.org/10.3390/app122412520

• Tian-Fu Lee, Xiucai Ye, Wei-Yu Chen and Chi-Chang Chang*. Enhanced Authenticated Key Agreement for Surgical Applications in a Tactile Internet Environment. Sensors 2022, 22(20), 7941; https://doi.org/10.3390/s22207941

• Chan, Chien-Lung, and Chi-Chang Chang*. 2022. "Big Data, Decision Models, and Public Health" International Journal of Environmental Research and Public Health 19, no. 14: 8543. https://doi.org/10.3390/ijerph19148543

• T-F Lee, T-L Gao, Chi-Chang Chang* Constructing a secure encryption and secret sharing mechanism for Taiwan biobank of a medical center, Journal of Technology, 2022, Vol.37,No.3,pp.211-224. (EI)

• Chi-Chang Chang*, Chi-Jie Lu. Preface for the Special Issue on Measuring Quality Improvement in Healthcare, Journal of Quality, 2022, 29(3), 177-179. (EI)

• Ying-Hui Yu, Chin-Fang Chang, Chi-Chang Chang*, Chalong Cheewakriangkrai Factors influencing recurrence of colorectal cancer after Chemotherapy. Journal of Quality, 2022, 29(3), 235-249. (EI)

• Huang L, Hu SW, Lu CJ, Chi-Chang Chang, Chen GD, Ng SC. The three-year evolution of overactive bladder syndrome in community-dwelling female residents aged 40 years and above. Taiwan J Obstet Gynecol. 2022;61(3):479-484. (SCI)

• H-Y Kao, Chi-Chang Chang*, C-F Chang*, Y-C Chen, Chalong Cheewakriangkrai, Y-L Tu Associations between sex and risk factors for predicting chronic kidney disease. Int J Environ Res Public Health. 2022, 19, 1219. (SCI; SSCI)

• C-C Shih, S-H Chen, G-D Chen, Chi-Chang Chang*, Y-L Shih Development of a Longitudinal Diagnosis and Prognosis in Patients with Chronic Kidney Disease: Intelligent Clinical Decision-making Scheme. Int J Environ Res Public Health. 2021, 18, 12807. (SCI; SSCI)

• Chi-Chang Chang*, T-H Huang, P-W Shueng, S-H Chen, C-C Chen, C-J Lu, Y-J Tseng Developing a Stacked Ensemble-based Classification Scheme to Predict Second Primary Cancers in Head and Neck Cancer Survivors. Int J Environ Res Public Health. 2021, 18, 12499. (SCI; SSCI)

• H-H Liao, Chi-Chang Chang*, Y-X Wang, Chalong Cheewakriangkrai Predicting the risk factors of second primary cancer in patients with hepatocellular carcinoma. Studies in health technology and informatics, 289, 93-96, 2022. (MEDLINE/PubMed)

• Chi-Chang Chang, Chen CC, Cheewakriangkrai C, Chen YC, Yang SF. Risk Prediction of Second Primary Endometrial Cancer in Obese Women: A Hospital-Based Cancer Registry Study. Int J Environ Res Public Health. 2021, 18, 8997. (SCI; SSCI)

• Chan, C.-L., Chi-Chang Chang* Big Data, Decision Models, and Public Health. International Journal of Environmental Research and Public Health 2020, 17(18), 6723. (SCI; SSCI)

• Ching-Hsuan Chien, Chi-Chang Chang, Shih-Huan Lin, Chi-Wei Chen, Zong-Han Chang and Yen-Wei Chu* (2020, Sep). N-GlycoGo: Predicting Protein N-glycosylation Sites on Imbalanced Data Sets by Using Heterogeneous and Comprehensive Strategy, IEEE Access, vol. 8, 165944-165950, 2020 (SCI)

• Chi-Chang Chang, Chi-Jie Lu, Chih-Te Yang* (2020, Sep). Multistage Supply Chain Production–Inventory Model with Collaborative Preservation Technology Investment, Scientia Iranica, Accepted. (SCI).

• Chuen Chin, W-C Ting, Chi-Chang Chang*,Yi-Xiang Zhang (2020, August). Prediction of risk factors for Synchronous Colorectal Cancer in Patients with Colorectal Cancer, Journal of Quality, 27(4). (EI).

• Chuen Chin, W-C Ting, Chi-Chang Chang*,Yi-Xiang Zhang (2020, August). Prediction of risk factors for Synchronous Colorectal Cancer in Patients with Colorectal Cancer, Journal of Quality, 27(4). (EI).

• Sun-Long Cheng, Chi-Chang Chang*(2020,August. Effect on the Quality of Life in Patients with Oral Cancer after Orthopedic Surgery: A Longitudinal Study, Journal of Quality, Vol. 27, No. 4. (EI).

• Chin-Chuan Shih, Chi-Jie Lu, Gin-Den Chen,Chi-Chang Chang* (2020, July). Risk Prediction for Early Chronic Kidney Disease: Results from an Adult Health Examination Program of 19,270 Individuals, International Journal of Environmental Research and Public Health, 2020, 17(14), 4973. (SCI; SSCI)

• K-P Chang, John Wang, Chi-Chang Chang*, Y-W Chu (2020, May). Development of a Novel Tool for the Retrieval and Analysis of Hormone Receptor Expression Characteristics in Metastatic Breast Cancer via Data Mining on Pathology Reports. BioMed Research International, Vol. 2020, Article ID 2654815. (SCI)

• Zi-Wei Wang, Chi-Chang Chang*, Quan Zou.(2020, April) COVID-19 Related Research by Data Mining in Single Cell Transcriptome Profiles. Journal of Electronic Science and Technology, Vol. 18, 1-5, 2020. (INSPECT/ Scopus)

• Jehn-Hwa Kuo, Chi-Chang Chang*, Chi-Wei Chen Heng-Hao Liang, Chih-Yen Chang, Yen-Wei Chu* (2020, April). Sequence-Based Structural B-cell Epitope Prediction by Using Two Layer SVM Model and Association Rule Features. Current Bioinformatics, 15(3), 246-252. (SCI)

• Wen-Chien Ting, Horng-Rong Chang, Chi-Chang Chang* and Chi-Jie Lu (2020, Feb) Developing a Novel Machine Learning-Based Classification Scheme for Predicting SPCs in Colorectal Cancer Survivors, Applied Sciences, 2020, 10(4), 1355. (SCI)

• Chi-Chang Chang* and Ssu-Han Chen (2019, Sep). Developing a Novel Machine Learning-based Classification Scheme for Predicting SPCs in Women with Breast Cancer, Frontiers in Genetics, 2019, 10:848. (SCI)

• Jone-Han Liu, Chi-Chang Chang*, Chi-Wei Chen,Li-Ting Wong, Yen-Wei Chu* (2019, June). Conservation region finding for influenza a viruse by machine learning methods of N-linked glycosylation sites and B-cell epitopes, Mathematical Biosciences, Vol. 315, 2019, 108217 (SCI).

• L Xu, C-R Liao, G-D Chen and Chi-Chang Chang*(2019, Jan). k-skip-n-gram-RF: A Random Forest based Method for Alzheimer’s Disease Protein Identification, Frontiers in Genetics, 2019(10), 33. (SCI)

• Y-T Chen, Chi-Chang Chang*, C-W Chen, K-C Chen, Yen-Wei Chu (2019, Jan). MADS-Box Gene Classification in Angiosperms by Clustering and Machine Learning Approaches. Frontiers in Genetics, 2019(9), Article 707. (SCI)

• Lei Xu, Guangmin Liang, Changrui Liao, Gin-Den Chen and Chi-Chang Chang* (2018, Nov) An Efficient Classifier for Alzheimer’s Disease Genes Identification, Molecules 2018, 23(12), 3140. (SCI)

• Chi-Chang Chang, Chi-Hua Tung, Chi-Wei Chen,Chin-HauTu, Yen-WeiChu* (2018, Oct) SUMOgo: Prediction of sumoylation sites on lysines by motif screening models and the effects of various post-translational modifications, Scientific Reports,S8:15512. (SCI)

• Chi-Chang Chang, Chi-Jie Lu, Chalong Cheewakriangkrai, Su-Hsin Chang (2018, June) Preface for the Special Issue on Computational Intelligence Technologies Meet Medical Informatics -From Prediction to Prognosis, Journal of Universal Computer Science, 24(6), 662-664. (SCI)

• C-W Chen, Chi-Chang Chang, H-C Hung, S-Y Ho,H-P Chang and Y-W Chu* (2018, June). Constructing Feature Models for Citrullination Sites Prediction. Journal of Quality, 25(3), 185-195. (EI).

• C-S Cheng, P-W Shueng, Chi-Chang Chang*, C-W Kuo (2018, June) Adapting an Evidence-based Diagnostic Model for Predicting Recurrence Risk Factors of Oral Cancer, Journal of Universal Computer Science, 24(6), 742-752. (SCI)

• Chi-Chang Chang and Chi-Jie Lu (2018, June).Preface for the Special Issue on Computational Intelligence Technologies Meets Medical informatics. Journal of Quality, Vol. 25, No. 3, 141-142. (EI).

• W-C Ting, Y-C Lu, C-J Lu, C.Cheewakriangkrai, Chi-Chang Chang* (2018, June). Recurrence Impact of Primary Site and Pathologic Stage in Patients Diagnosed with Colorectal Cancer. Journal of Quality, 25(3), 166-184. (EI).

• C-C Huang, Chi-Chang Chang, C-W Chen, S-Y Ho,H-P Chang, Y-W Chu* (2018, Feb). PClass: Protein Quaternary Structure Classification by Using Bootstrapping Strategy as Model Selection, Genes, Vol. 9, No. 2, pii: E91. (SCI)

• Huan-Cheng Chang, Pin-Hsiang Chang, Sung-Chin Tseng, Chi-Chang Chang* (2018, Feb). A comparative analysis of data mining techniques for prediction of postprandial blood glucose: A Cohort Study. International Journal of Management,Economics and Social Sciences, Vol. 7(S1), 132-141. (EI)

• Sunanda Das, Chi-Chang Chang, A. Kumar Das*,A. Ghosh (2017, Dec). Feature Selection based on Bi-objective Differential Evolution. Journal of Computing Science and Engineering, 11(4), 130-141. (EI).

• Chih-Jen Tseng, Chi-Chang Chang*, Chi-Jie Lu(2017, June). Integration of ensemble learning and data mining techniques to predict risk factors for recurrent ovarian cancer. Artificial Intelligence in Medicine,78, 47-54. (SCI)

• Chi-Chang Chang, C-J Lu, C Cheewakriangkrai(2017, Dec). Preface for the Special Issue on Computational Intelligence Technologies Meets Medical informatics. Journal of Computing Science and Eng., 11(4), 109-110. (EI).

• Chih-Cheng Sun, Chi-Chang Chang* (2017, Nov)Multiple primary malignant neoplasms: Results from a 5-Year Retrospective Analysis in a Metropolitan Hospital, Formosan Journal of Surgery, 50(6), 209-214.

• Yu-Ju Lin, Chiu- Hsiang Lee, Chi-Chang Chang(2016). Evaluation of a Video-Based Intervention to Promote Condom Use Among College Students in Taiwan. Studies in health technology and informatics, 101-104. (MEDLINE/PubMed)

• Fang-Ching Liu and Chi-Chang Chang* (2016).Model-Based Individualized Treatment of Chronic Granulomatous Disease. Studies in health technology and informatics, 71-74. (MEDLINE/PubMed)

• H.H. Liao, S.L. Cheng, Chi-Chang Chang*, C.H Lin, F.C. Liu, C.S. Cheng, (2016) Decisional Trust and Regret Mediate the HRQL in Work-related Hand Injury Patients, European Psychiatry, 33, s595-596. (SCI)

• Chi-Chang Chang* (2015) Shared Decision Making and Regret Plays Critical Roles of Posttraumatic Growth: a Longitudinal Study, Medical Decision Making, 36(5), E78-E415 (SCI)

• Chih-Kuang Chang, Chi-Chang Chang* (2014)Bayesian Imperfect Information Analysis for Clinical Recurrent Data, Therapeutics and Clinical Risk Management, 2015:11, 17-26. (SCI)

• Chi-Chang Chang* (2014) Developing the First Validity of Shared Medical Decision- Making Questionnaire in Taiwan, Global Journal of Medical Research, 14(2), 9-15.

• C-J Tseng, C-J Lu, Chi-Chang Chang*, G-D Chen(2013) Application of Machine Learning to Predict the Recurrence-Proneness for Cervical Cancer, Neural Computing and Applications, 24(6), 1311-1316. (SCI)

• Chi-Chang Chang* (2013) The effect on life quality of oral cancer patients after the orthopedic surgery, European Psychiatry, Volume 28,Supplement 1, 2013. (SCI)

• Chi-Chang Chang* (2011) Developing the first validation of the shared decision-making questionnaire in Taiwan, Medical Decision Making, 31(E54), E124-E125. (SCI)

• Chi-Chang Chang*, Cheng, C-S. (2007) A Structural Design of Clinical Decision Support System for Chronic Diseases Risk Management,Central European Journal of Medicine, 2(2), 129-139. (SCI)

• Chi-Chang Chang*, Cheng, C.-S., and Huang, Y.-S. (2006) A Web-Based Decision Support Systems for Chronic Diseases, Journal of Universal Computer Science, 12(1), 115-125. (SCI)

• Chi-Chang Chang*, Cheng, C.-S. (2006) A Bayesian Decision Process with Fuzzy Interpretability for Aging Chronic Disease, International Journal of Technology Management, 40, 1/2/3, 176-191. (SSCI)

• Huang, Y.-S., Chi-Chang Chang* (2004) A Study of Defuzzification with Experts’ Knowledge for Deteriorating Repairable Systems, European Journal of Operational Research, 157(3), 658-670. (SCI)

Chapters in Books

• Chi-Chang Chang*, Chen, Y-F. (2007) Designing A CRM-based E-Government Usability Evaluation Framework: Integrating Internal and External Customers in Public Services, Social Implications and Challenges of E-Business, ISBN: 159-904-105-7, Idea Group, 2007.

• Chi-Chang Chang*, Chen, RS. Sun, PR. (2010) Applying Fuzzy Bayesian Maximum Entropy to Extrapolating Deterioration in Repairable Sys., Machine Learning, 978-953-307-033-9, INTECH, 2010.

Selected Conference Presentations

• Ssu-Han Chen, Chi-Chang Chang, Chih-Te Yang, An Explainable Predicting Model for Stomach Cancer Recurrence-proneness, Int’l Health Sciences and Management Conf., June 16-19, 2022, Üsküdar University, Rector, Turkey. (Online)

• Ying-Chen Chen, Chi-Chang Chang, Wen-Chien Ting, Second Primary Esophageal Cancer among Head and Neck Cancer Survivors, Int’l Health Sciences and Management Conf., June 16-19, 2022, Üsküdar University, Rector, Turkey. (Online)

• H-H Liao, Chi-Chang Chang*, Y-X Wang, Chalong Cheewakriangkrai Predicting the risk factors of second primary cancer in patients with hepatocellular carcinoma. ICIMTH2021, Oct. 16-17, 2021, Athens, Greece.(Online)

• Chi-Chang Chang*, Ying-Chen Chen, Machine Learning Techniques to Predict Recurrent Breast Cancer in Taiwan, 2021 30th Wireless and Optical Communications Conference (WOCC), Oct. 7-8, 2021, Taipei, Taiwan. (Online)

• Chi-Chang Chang*, Wen-Chien Ting, Wen-Chieh Lai, Risk of Second Cancers and Recurrent Cancers Among Cancer Survivors in the Taiwan, 6th International Health Sciences and Management Conference, 20-22 May. 2021, Süleyman Demirel Üniversitesi, Isparta, Turkey.

• Ssu-Han Chen, Chi-Chang Chang, Using a Hybrid Classifier committee Method to Select Important Features for Head and Neck Cancer Recurrence-proneness, 6th International Health Sciences and Management Conference, 20-22 May. 2021, Süleyman Demirel Üniversitesi, Isparta, Turkey.

• Chi-Chang Chang*, Yen-Chiao Angel Lu, Ying-Chen Chen, Prediction of Recurrence in Patients with Breast Cancer, 6th International Health Sciences and Management Conference, 20-22 May. 2021, Süleyman Demirel Üniversitesi, Isparta, Turkey.

• Chi-Chang Chang*, Y-C Chen, Advanced Machine Learning in Prediction of Second Primary Cancer in CRC, 30thMedical Informatics Europe Conference, April 24-May 2, 2020, Geneva, Switzerland. (Online)

• Chi-Chang Chang*, C. Cheewakriangkrai and Ying-Chen Chen Media Health Literacy Plays Critical Role of Shared Decision Making: Mediating or Moderating? INFORMS, Oct. 20-23, 2019, Seattle, USA.

• Chi-Chang Chang*, Ensemble Feature Learning for Predicting Risk Factors of Secondary Cancer, Fifth Int.l Conf. on Machine Learning, Optimization, and Data Science, Sep. 10-13, 2019, Siena-Tuscany, Italy.

• Chi-Chang Chang*, D Ma, Y-C Lu, C. Cheewakriangkrai, eHealth Literacy Plays Critical Role of Shared Decision Making, 19th World Congress of Psychiatry, Aug. 21-24, 2019, Lisbon, Portugal.

• W-C Ting, Chi-Chang Chang*, S-H Chen, C-J Lu, G-D Chen, C. Cheewakriangkrai, Developing an Integrated Clinical Decision-making Scheme (ICDS) for Predicting SPCs in Women with Endometrial Cancer: A Retrospective Analysis in TW and Thai, IACR Conference, June 6-9, 2019, Vancouver, Canada.

• Chi-Chang Chang*, S-H Chen, C-J Lu, W-C Ting, G-D Chen, C. Cheewakriangkrai. Developing an Integrated Clinical-Decision-making Scheme (ICDS) for Predicting the Risk Factors of Second Primary Cancers, 40th Ann. Conf. of the Int’l Assoc. of Cancer Registries, Nov. 13-15, 2018, Arequipa, Peru.

• Chi-Chang Chang*, W-C Ting, C.Cheewakriangkrai, P-W Shueng. A Nationwide Retrospective Analysis of SPMs in Taiwanese Women: 1996-2010, The XXII FIGO, Oct. 14-19, 2018, Rio de Janeiro, Brazil.

• Chi-Chang Chang*, C. Cheewakriangkrai, Y-C Lu, Modelling Hcw’s Strategic Behaviour For Healthcare-Associated Infections, 3rd Int’l Health Sciences and Management Conf., Oct. 3-6, 2018, Sofia,

• Chi-Chang Chang*, Y-C Lu, Ch.Cheewakriangkrai. Combination of Assoc. Rules and Machine Learning Techniques for Predicting Recurrent Gynecologic Cancer, 17th IGCS, Sep. 14-16, 2018, Kyoto, Japan.

• D. Tinnangwattana, C. Cheewakriangkrai,Chi-Chang Chang. Etoposide Plus Platinum-based Adjuv. Chemother.onSmall CellNeuroendocrine Carcinomaof Cervix,17th IGCS, Sep.14-16,2018,Kyoto, Japan.

• Y.C. Lu, T.M. Lin, Chi-Chang Chang*.Medical-seeking Behavior as Mediator in Relation to Posttraumatic Growth in Oral Cancer Survivors: A Longitudinal Study. 26th EPA, Mar 3-6, 2018, Nice, French.

• Chi-Chang Chang*, G-D Chen, W-C Ting, C Cheewakriangkrai. Risk Factors of New Primary Cancers After Breast Cancer:5-Year Retrospective Analysis in Taiwan, 20th ESGO, Nov 4-7, 2017, Vienna, Austria.

• W-C Ting, Chi-Chang Chang*, C.Cheewakriangkrai. Incidence Trends for MPMNs (2010-2014): Results from a Hospital-based Cancer Registry in Taiwan. 39th IACR, Oct. 17-19, 2017, Utrecht, Netherland.

• S-L Cheng, H-H Liao, P-W Shueng, H-C Lee, C.Cheewakriangkrai, Chi-Chang Chang*, Oral Cancer Patients’ Preference in Medical Decision Making and QOL. 15th ICIMTH, July 7-9, 2017, Athens, Greece.

• H-H Liao, S-L Cheng, P-W Shueng, H-C Lee, C.Cheewakriangkrai, Chi-Chang Chang*, Decisional Conflict in Work-related Hand Trauma Patients. 15th ICIMTH, July 7-9, 2017, Athens, Greece.

• Chi-Chang Chang*, Decisional Trust and Regret Mediate the HRQL in Work-related Hand Injury Patients.24th European congress of Psychiatry EPA 2016, Mar 12-15, 2016, Madrid, Spain.

• Y-J Lin, C-H Lee, Chi-Chang Chang*. Evaluation of a Video-based Intervention to Promote Condom Use among College Students in Taiwan.14th ICIMTH, July 1-3, 2016, Athens, Greece.

• F-C Liu, Chi-Chang Chang*. Model-based Individualized Treatment of Chronic Granulomatous Disease.14th ICIMTH, July 1-3, 2016, Athens,Greece.

• Chi-Chang Chang*, Shared Decision Making and Regret Plays Critical Roles of Posttraumatic Growth: a Longitudinal Study. The 35th Society for Medical Decision Making, Oct. 17-21, 2015, St. Louis, USA.

• P-S Su, T Teng, C-H Hsu, Chi-Chang Chang*.Patients' Trust for Involvement in Shared Decision Making: A Longitudinal Study. 34th Society for Medical Decision Making, Oct. 19-22, 2014, Miami, USA.

Chi-Chang Chang* Factors affecting decisional conflict for patients with cervical cancer in Taiwan: an observational study, 5th World Congress on Women’s Mental Health, March 4-7 2013, Lima, Peru.

• Chi-Chang Chang* The Effect on Life Quality of Oral Cancer Patients after the Orthopedic Surgery, 21st European Congress of Psychiatry, 6-9 April, 2013, Nice, French.

• Chi-Chang Chang* Analysis of prognostic factors in patients relapsed ovarian cancer, 2013 INFORMS Annual meeting, Oct. 6-9, 2013,Minneapolis, United States of America.

• Chi-Chang Chang* T Teng, Predicting the Recurrent Factors of Cervical Cancer using C5, MARS and RF: a comparison study, 18th ESGO, Oct.19-22, 2013, Liverpool, United Kingdom.

• Chi-Chang Chang* Determine Predictors of Life Quality Among Oral Cancer Patients with Orthopedic Trauma, 7th Annual Chicago Supportive Oncology Conference, Oct. 28-29, 2011, Chicago, USA.

• Chi-Chang Chang* Developing the First Validation of Shared Decision-making Questionnaire in Taiwan, 32st Annual Meeting of the Society for Medical Decision Making, Oct. 24-27, 2010, Toronto, Canada.

• Chi-Chang Chang* Bayesian Inference of a Nonhomogeneous Poisson Process with Exponential Model for Recurrent Events, 15th AMCIS, Aug 6-9,2009, San Francisco, United States of America.

• Chi-Chang Chang* Measuring Taiwanese Patients’ Readiness for Involvement in Medical Decision-making, 31st Annual Meeting of the Society for Medical Decision Making, Oct 18-21, 2009, LA, USA.

Invited Talks/ Keynote Speaker

• Turkish Youth Dialogue: the emerging generation involved in international research, Selçuk Üniversitesi. Konya, Oct. 16, 2023.

• AI for Cancer Patients in the Early Clinical Risk, The 7th International Conference on Advances in Artificial Intelligence (ICAAI 2023) October 13-15, 2023 in Istanbul, Turkiye.

• The Past, Present and Future of Health Management: Celebrating the 100th anniversary of the Republic with innovation and excellence, 6th International and 16th National Health and Hospital Administration Congress, October 12-14 2023, Konya, Turkiye.

• Reflections Towards the Future of Medical Tourism in the Post-Pandemic, Health Tourism and Its Future in Turkiye, Faculty of Business Administration - Lamia Ergenekon Hall (Red Hall) ATILIM University 26 OCT. 2022, Ankara, Turkiye.

• New Approaches in Cancer Treatment, 6th International Health Sciences and Management Conference, 2022 May. 2021, Süleyman Demirel Üniversitesi, Isparta, Turkey.

• Evidence-based Prevention Practice in SPCs and Recurrence: Retro- and Prospect in Asia Pacific, Fu Jen Catholic University, April 8, 2020.

• AIas Risk AssessmentToolin Patients withSPC-CRC,Healthcare EXPO TAIWAN(台灣醫療科技展),Dec8, 2019.

• 後現代臨床醫學殖民表象與林布蘭的前景，第三屆後現代整合學及通識教育研討會-AI 與社會

• Developing Interdisciplinary Research and Collaboration in Med. Science, Jen-Ai Hospital, Sep 20, 2019.

• Toward Cancer Data Ecosystems:Cancer Registry as Service,TW Society of Cancer Registry,Aug 30, 2019.

• Connecting Medical Informatics and Clinical Practice on Medicine Research- A viewpoint of Cancer Research Data Ecosystem, Chiang Mai University Hospital, Chiang Mai, Thailand, Jan 10, 2019.

• Toward Cancer Data Ecosystems: Cancer Registry as a Service, Fu Jen Catholic University, Nov 30, 2019.

• Connecting Medical Informatics and Clinical Practice on Medicine Research, NCHU, May 24, 2019.

• The International Conference on Soft Computing in Data Analytics (CSDA 2018), Sri Sivani College of Engineering, Srikakulam, Andhra Pradesh, India, March 10-11, 2018.

• 3nd Intl Conf. on Health, Medicine and Life Sciences (MEDLIFE2016), Hangzhou, China, Dec 12-14, 2017.

• World Congress on Biomedical Engineering and Medical Informatics, Hangzhou, China, Nov 22-23, 2017.

• Using Cancer Registry Data to Enhance MPMNs Control Programs Development, 9th International Conference on Machine Learning and Computing (ICMLC 2017) Singapore, Feb 24-26, 2017.

• Repairable System Reliability Modeling and Decision Analyses, 2nd Annual 2016 International Conference on Management Science and Engineering (MSE2016), Chengdu, China, Dec16-18, 2016.

• Application of Machine Learning to Predict the Colorectal Cancer Recurrence, 2016 2nd International Conference on Health, Medicine and Life Sciences (MEDLIFE2016), Shanghai, China, Dec. 13-14, 2016.

• Rethinking Behavior Change Strategies for Increasing Condom Use among College Students, Int. Conf. on Environmental Research and Public Health (ICERP2016), Shenzhen China, Oct. 21-23, 2016.

• Rethinking an In-service Training Program for Nurses’ Strategic Hand Hygiene Behavior,” 2016 International Conference on Psychology and Behavioral Sciences, Xi'an, China, July 28-29, 2016.

• Reliability Modeling and Decision Analysis in Repairable Systems,” 2nd International Conference on Reliability Engineering (ICRE 2016) Chiang Mai, Chiang Mai University, Thailand, May 14-16, 2016.

• Application of Machine Learning to Predict the Female Cancers Recurrence, Tunghai Univ, Apr 29, 2016.

• Application of Machine Learning to Predict the Recurrent Cancers, 2016 International Conference on Biology and Pathology (ICBP2016) Guangzhou, Guangdong, China, June 25-26, 2016.

• Rethinking a In-service Training Program for Nurses’ Strategic Hand Hygiene Behavior, 2016 International Conference on Modern Education and Social Science Wuhan China, April 16, 2016.

• Classification of Recurrent Ovarian Cancer Using Machine Learning Method, 8th International Conference on Machine Learning and Computing (ICMLC 2016) Hong Kong, Feb 22, 2016.

• Industry Engineering for Efficient, Effective, Equitable Decisions of Health Services Research in Taiwan, Industrial Engineering and Enterprise Information, Tunghai University, Taichung, Taiwan, Apr 12, 2015.

• Review of Health Services Research (HSR) in Taiwan, Department of Industrial Engineering and Management, Ming Chi University, Taipei, Taiwan, Jan 22, 2012.

GRANTS

⚫ Ministry of Science and Technology 科技部計畫

NSTC 112-2221-E-040-007-MY2 - Validation of a longitudinal diagnosis and prognosis for early recurrence of hepatocellular carcinoma in Taiwan and Türkiye - a novel multimodal fusion and interpretable machine learning

MOST 111-2321-B-040-001 臨床資料庫與 AI 跨域開發加值應用- Cancer Registry AI-CDSS for Big Data Research (4/4)

MOST 111-2321-B-040-001 臨床資料庫與 AI 跨域開發加值應用- Cancer Registry AI-CDSS for Big Data Research (3/4)

MOST 110-2321-B-040-001 臨床資料庫與 AI 跨域開發加值應用- Cancer Registry AI-CDSS for Big Data Research (2/4)

MOST 110-2221-E-040-004-MY2 Validation of a Longitudinal Diagnosis and Prognosis for Chronic Kidney Disease Patients in Taiwan and Thailand- Intelligent Clinical Decision-making Scheme

MOST 109-2321-B-040-001-臨床資料庫與 AI 跨域開發加值應用- Cancer Registry AI-CDSS for Big Data Research (1/4)

MOST 109-2221-E-040-006- Developing Evidence-based Clinical Diagnosis, Prediction and Prognostic for CKD and Cancers

MOST 108-2321-B-040-001-MY2 [COPI] 腦科學專案計畫 Through Investigating Comorbid Epilepsy and Cerebrovascular Disease of Alzheimer's Disease by Animal Models and Clinical Subjects to Develop New Tools for Diagnosis and Treatment of Dementia

MOST 108-2221-E-035-034-MY2 [COPI] Photoacoustic Technology as a Non-Invasive Meth. to Detect the Degree of Carotid Vascular Sclerosis

MOST 108-2221-E-040-004- Exploring the Evidence-based Control Programs for Male with MPMNs in TW and US (II)

MOST 107-2221-E-040-009- Exploring the Evidence-based Control Programs for Male with MPMNs in TW and US (I)

MOST 106-2218-E-040 -001 -MY2 新南向計畫 Evidence-based CDSS for Gynecologic Cancer in Northern Thailand-- Contributions to International Efforts

MOST 106-2221-E-040-010- Obesity and age-period-cohort analyses on mortality rate of endometrial cancer in TW and United States

MOST 104-2633-E-040-001- 百人拓荒計畫 The Maze Runner of HIV/AIDS: it's about you!

MOST 102-2633-E-040-001- 百人拓荒計畫 A Novel Prognostic Index Model and Health Technology Assessment in Endometrial Cancer

MOST 101-2410- H-040-009- Longitudinal Dynamic Analyse of PTG and QoL Regarding Cervical Cancer Treatment - A SEM Study

MOST 99-2628-E-040-001- Bayesian Inference for Cervical Cancer in Survival Analysis

MOST 98-2410-H-040-006-MY2 A critical Stakeholder Analysis for Patient Shared Decision-making

⚫ Short-term Visit Grant 國際科技人士短期訪問

MOST 113-2912-I-040-501 Ahmet Murat Özbayolu (Turkiye)

MOST 109-2912-I-040-501 Reinhold Haux (Germany)

MOST 108-2912-I-005-501 (NCHU) Taka-Aki Sato (Japan)

MOST 107-2912-I040-501 Chou-Hong Chen (USA)

MOST 106-2912-I-040-502 Tetsuya Sakurai (Japan)

MOST 105-2816-B-040-001 Quan Zou (Tianjin University)

MOST 102-2912-I-040-503 Chung-Li Tseng (Australia)

⚫ STD Ministry of Science and Technology 指導大專學生參與科技部計畫

MOST 109-2813-C-040-006-E Prediction of Risk Factors for Synchronous CRC in CRC Patients

MOST 106-2813-C-040-003-E Risk Predictive Factors in SPMs for Colorectal Cancer Survivors

MOST 104-2815-C-040-060-E Integrated Architecture for Endometrial Cancer Relapse Prediction

MOST 103-2815-C-040-028-E Developing an Advanced Machine Learning and Ensemble Learning

MOST 102-2815-C-040-005-H Machine Learning to Predict Recurrence-Proneness for Cervical Cancer

MOST 98-2815-C-040-006-E Patient’s Preferences for Involvement in Shared Decision-making

⚫ CSMU Hospital Project 中山醫學大學附設醫院計畫

CSH-2024-C-027 Development of Image-based Deep Learning System in Diagnosis of Liver Fibrosis and Recurrence Detection of HCC for Clinical Decision Support System

CSH-2024-C-029 Validation of a longitudinal diagnosis and prognosis for second primary cancer- a novel multimodal fusion model

CSH-2023-C-026 A Second Primary Cancer Prediction Model based on Decision Curve Analysis and Clustering Machine Learning Methods for Lung Cancer Survivors

CSH-2022-D-010 Exploring the Relationship between Immunity, Treatments and QOL following SARS-CoV-2 Vaccination Among Patients with Breast Cancer

CSH-2022-C-003 Developing the Comprehensively Glaucoma Prognosis Program by Artificial Intelligence Method

CSH-2022-C-038 Predicting the risk factors of second cancer and recurrence in patients with hepatocellular carcinoma: machine learning techniques

CSH-2022-C-035 Developing Evidence-based Control Programs of Second Primary Cancer and recurrence for Patients with Head and Neck Cancer

CSH-2021-D-012 The Implementation of Evidence-based Practice for Chronic Kidney Disease and Cancers in Taiwan and Thailand—A Bilateral International Cooperation Project

CSH-2020-C020 Predicting the Risk Factors of Syn- and Meta- SPCs and Recurrent Colorectal Cancer

CSH-2018-D-002 Developing Control Programs for Women with MPMNs: Multi-International Cooperation

CSH-2018-A-015 Risk Factors of Multi-Primary Malignant Neoplasms (MPMNs) in Oral Cancer Survivors

CSH-2018-A-008 Applying Data Mining Techniques for Prediction on Recurrent Oral Cancer

CSH-2017-A-012 Risk of Second Primary Malignancies after Colorectal Cancer: Data Mining Technology

CSH-2017-A12-1 The treatment of Health Technology Assessment in Recurrent Colorectal Cancer

CSH-2017-A12-2 A Novel Prognostic Index Model of Recurrent CRC: (non)-Randomized Studies Construct

CSH-2015-A-006 Applying Data Mining Techniques for Prediction on Recurrent Colorectal Cancer

CSH-2015-A-014 A Video-based Intervention to Promote Condom Use among College Students in TW

CSH-2015-A-017 Trauma and Life Quality in Work-Related Hand Injury Patients: Cross-Sectional Study

CSH-2015-A-012 Exploring Plastic Surgery Patients’ Preference in Medical Decision Making

CSH-2014-C-018 A Systemic View of the Comprehensively Ovarian Cancer Prognosis Program

CSH-2014-C18-1 Applying Data mining Techniques for Ovarian Cancer Prevention

⚫ University Cooperative Research Project 跨校研究計畫

NCHU- CSMU 1090X 中興大學 Automatic histological grading for brain cancer via deep learning

NCHU- CSMU 1080X 中興大學 AI Approaches for Constructing Disease Risk Factor Analysis Model

FCU-CSMU 10701 逢甲大學 Glycemic Control on Multiple Myeloma Using Photoacoustic Spectrum

NCHU- CSMU 10705 中興大學 A Word/Phrase Matching-Based Text Mining Program for Automatic Extraction of Hormone Receptor Data from Free-text Pathology Reports on Breast Cancer

NCHU-CSMU-10612 中興大學 Machine Learning Applications in MPMNs prediction

⚫ Hospital Cooperative Research Project 跨院合作計畫

CSMU-CM-110-04 奇美醫院 Predicting the Risk Factors of Second Primary Cancer and Recurrent for Rectal Cancer Patients after Radiotherapy

CSMU-TSMH-108-2 屏東東港醫院 Machine Learning Techniques to Predict Risk Factor of Dialysis

CSMU-JAH-103-001 大里仁愛醫院 Bayesian Imperfect Information Analysis for Clinical Recurrent Data

CSMU-POHAI-107-1 羅東博愛醫院 Risk of SPMs after Local Advanced Rectal Cancer: DataMining Teches

CSMU-JAH-107-001 大里仁愛醫院 Comput. Intel. & Feature Select. for protein function and modification

CSMU-LSH-107-002 桃園聯新醫院 Prediction of postprandial blood glucose: machine learning techniques

CSMU-JAH-107-002 大里仁愛醫院 PTS disorder and PTG among cancer patients: cohort studies

CSMU-JAH-106-001 大里仁愛醫院 Data Mining applications in SPMs prediction

CSMU-JAH-105-001 大里仁愛醫院 MPMNS: a 5-Year Retrospective Analysis in a Metropolitan Hospital

CSMU-JAH-105-016 大里仁愛醫院 A prediction model of diabetic nephropathy and identify risk factors

CSMU-JAH-104-001 大里仁愛醫院 Exploring Patients’ Preference in Medical Decision Making and QOL

CSMU-LSH-102-002 桃園聯新醫院 QOL after PTG for cervical cancer: a 18 months follow-up study

CSMU-JAH-101-001 大里仁愛醫院 Evaluation of the functional result and QOL after orthopedic surgery

CSMU-TSMH-099-1 屏東東港醫院 Dental Patients’ Preference in Med. Decision Making between TW&UK

INTERNATIONAL CONFERENCES 創辦三項國際會議

2017.5.20-22, Chung Shan Medical University, Taichung, Taiwan

Theme: Medical Informatics Meets Quality Health Care - From Prediction to Prognosis

2018 International conference on Medical and Health Informatics (ICMHI)

2018 International conference on Healthcare Service Management (ICHSM)

2018.6.8-10, University of Tsukuba, Japan

Theme: Seamless Ubiquitous IT & Applications over the Evolution of Medical Informatics

2019 International conference on Medical and Health Informatics (ICMHI)

2019 International conference on Healthcare Service Management (ICHSM)

2019.5.17-19, Xiamen, China

Theme: Healthy data put to good use for better integrated care

2020 International conference on Medical and Health Informatics (ICMHI)

2020 International conference on Healthcare Service Management (ICHSM)

2020.8.14-16, Kamakura, Japan (Online)

Theme: Empowering Ecosystem Services throughout the World

2021 International conference on Healthcare Service Management (ICHSM)

2021.5.14-16, Kyoto, Japan (Online)

Theme: Accelerating the Evolution of the Whole-evidence Approach to Promote Health

2022 International conference on Medical and Health Informatics (ICMHI)

2022 International conference on Healthcare Service Management (ICHSM)

2022.5.13-15, Kyoto, Japan (Online)

Theme: Validation, Let the evidence Speak!

2023 International conference on Medical and Health Informatics (ICMHI)

2023 International conference on Healthcare Service Management (ICHSM)

2023.5.12-14, Kyoto, Japan (Physical and Online)

Theme: Healthcare Management and Medical Decision Science in the Post-Pandemic Era

2023 International Symposium on Medical Decision Science (ISMDS)

2023.8.28-31, Ulaanbaatar, Mongolia Theme: Healthcare Management and Medical Decision Science in the PostPandemic Era

2024 International Symposium on Medical Decision Science (ISMDS)

2024.2.14-17, Chiang Mai, Thailand Theme: Transforming Healthcare Management and Medical Decision Science

2024 International conference on Medical and Health Informatics (ICMHI)

2024.5.17-19, Yokohama, Japan (Physical and Online)

Theme: Beyond the future Healthcare Delivery

2024 International conference on Healthcare Service Management (ICHSM)

2024.9.6-8, Istanbul, Turkiye (Physical and Online)

Theme: Beyond the future Healthcare Delivery