論文發表 Publications：
Personalised prediction of maintenance dialysis initiation in patients with chronic kidney disease stages 3-5: a multicentre study using the machine learning approach
Hoang, A. T., Nguyen, P. A., Phan, T. P., Do, G. T., Nguyen, H. D., Chiu, I. J., Chou, C. L., Ko, Y. C., Chang, T. H., Huang, C. W., Iqbal, U., Hsu, Y. H., Wu, M. S., & Liao, C. T. (2024).BMJ health &
Comparative Effectiveness of Second-line Antihyperglycemic Agents for Cardiovascular Outcomes: A Large-scale, Multinational, Federated Analysis of the LEGEND-T2DM Study
Khera, R., Aminorroaya, A., Dhingra, L. S., Thangaraj, P. M., Camargos, A. P., Bu, F., Ding, X., Nishimura, A., Anand, T. V., Arshad, F., Blacketer, C., Chai, Y., Chattopadhyay, S., Cook, M., Dorr, D.
Prediction of Incident Dementia Among Chronic Disease Patients: A Multi-Cohort Multi-Center Observational Patient-Level Prediction Study
2024 European Symposium, Rotterdam, Netherlands
Early Detection of Dementia in Populations With Type 2 Diabetes: Predictive Analytics Using Machine Learning Approach
Thanh Phuc, P., Nguyen, P. A., Nguyen, N. N., Hsu, M. H., Le, N. Q. K., Tran, Q. V., Huang, C. W., Yang, H. C., Chen, C. Y., Le, T. A. H., Le, M. K., Nguyen, H. B., Lu, C. Y., & Hsu, J. C. (2024).
Unveiling the future of COVID-19 patient care: groundbreaking prediction models for severe outcomes or mortality in hospitalized cases
Hien, N. T. K., Tsai, F. J., Chang, Y. H., Burton, W., Phuc, P. T., Nguyen, P. A., Harnod, D., Lam, C. S., Lu, T. C., Chen, C. I., Hsu, M. H., Lu, C. Y., Huang, C. W., Yang, H. C., & Hsu, J. C. (2024)
Lightning talk – Prediction the incidence of Dementia among T2DM patients using TMUCRD OMOP-CDM; Tutorial - on the topic of How to run network study “the Fluroquinolone SOS Challenge study”
2023 APAC Symposium, Sydney, Australia
Establishment of New Prediction Model for Incidence of Dementia in Patients with Type 2 Diabetes
MEDINFO 2023, Sydney, Australia
A global analysis of COVID-19 infection fatality rate and its associated factors during the Delta and Omicron variant periods: an ecological study
Thi Hong Nguyen, N., Ou, T. Y., Huy, L. D., Shih, C. L., Chang, Y. M., Phan, T. P., & Huang, C. C. (2023)Front Public Health, 11, 1145138. https://doi.org/10.3389/fpubh.2023.1145138
A novel prediction model of the risk of pancreatic cancer among diabetes patients using multiple clinical data and machine learning
Chen, S. M., Phuc, P. T., Nguyen, P. A., Burton, W., Lin, S. J., Lin, W. C., Lu, C. Y., Hsu, M. H., Cheng, C. T., & Hsu, J. C. (2023).Cancer medicine, https://doi.org/10.1002/cam4.6547
Machine learning approaches for predicting 5-year breast cancer survival: A multicenter study
Nguyen, Q. T. N., Nguyen, P. A., Wang, C. J., Phuc, P. T., Lin, R. K., Hung, C. S., Kuo, N. H., Cheng, Y. W., Lin, S. J., Hsieh, Z. Y., Cheng, C. T., Hsu, M. H., & Hsu, J. C. (2023).Cancer science
Development and Validation of Novel Deep-Learning Models Using Multiple Data Types for Lung Cancer Survival
Hsu, J. C., Nguyen, P. A., Phuc, P. T., Lo, T. C., Hsu, M. H., Hsieh, M. S., Le, N. Q. K., Cheng, C. T., Chang, T. H., & Chen, C. Y. (2022).Cancers, https://doi.org/10.3390/cancers142255
Comparison of COVID-19 Resilience Index and Its Associated Factors across 29 Countries during the Delta and Omicron Variant Periods
Huy, L. D., Shih, C. L., Chang, Y. M., Nguyen, N. T. H., Phuc, P. T., Ou, T. Y., & Huang, C. C. (2022).Vaccines, 10(6), 940. https://doi.org/10.3390/vaccines10060940
The Effects of Non-Pharmaceutical Interventions on COVID-19 Epidemic Growth Rate during Pre- and Post-Vaccination Period in Asian Countries
Huy, L. D., Nguyen, N. T. H., Phuc, P. T., & Huang, C. C. (2022).International journal of environmental research and public health, 19(3), 1139. https://doi.org/10.3390/ijerph19031139
Machine Learning to Predict the Ischemic Stroke among T2DM patients using TMUCRD
2022 OHDSI Symposium, Washington DC, USA
Person-centered care (PCC): the people's perspective
Berntsen, G. R., Yaron, S., Chetty, M., Canfield, C., Ako-Egbe, L., Phan, P., Curran, C., & Castro, I. (2021). Int J Qual Health Care, https://doi.org/10.1093/intqhc/mzab052