Search research articles
Contact Us
Filters
Showing results (31-40 of 54) with videos related to
Page
of 6
Sort By:
Journal of Biomedical Informatics
|
April 14, 2022
AutoScore-Imbalance: An interpretable machine learning tool for development of clinical scores with rare events data
Han Yuan, Feng Xie, Marcus Eng Hock Ong, et al.
Statistical Methods in Medical Research
|
December 27, 2017
A stratification approach using logit-based models for confounder adjustment in the study of continuous outcomes
Chuen Seng Tan, Nathalie C Støer, Ying Chen, et al.
JAMA Ophthalmology
|
November 29, 2023
Topical Atropine for Childhood Myopia Control: The Atropine Treatment Long-Term Assessment Study
Yong Li, Michelle Yip, Yilin Ning, et al.
International Journal of Medical Informatics
|
November 10, 2018
Feasibility of representing adherence to blood glucose monitoring through visualizations: A pilot survey study among healthcare workers
Ying Chen, Shih Ling Kao, Maudrene Tan, et al.
Eclinicalmedicine
|
March 14, 2022
Development and validation of an interpretable machine learning scoring tool for estimating time to emergency readmissions
Feng Xie, Nan Liu, Linxuan Yan, et al.
Diabetes Research and Clinical Practice
|
September 13, 2017
Longitudinal trends in HbA1c and associations with comorbidity and all-cause mortality in Asian patients with type 2 diabetes: A cohort study
Miyang Luo, Wei Yen Lim, Chuen Seng Tan, et al.
Health Data Science
|
September 8, 2025
Bridging Data Gaps in Healthcare: A Scoping Review of Transfer Learning in Structured Data Analysis
Siqi Li, Xin Li, Kunyu Yu, et al.
Health Data Science
|
December 5, 2024
Federated Learning in Healthcare: A Benchmark Comparison of Engineering and Statistical Approaches for Structured Data Analysis
Siqi Li, Di Miao, Qiming Wu, et al.
BMC Medical Research Methodology
|
June 8, 2020
Robust estimation of the effect of an exposure on the change in a continuous outcome
Yilin Ning, Nathalie C Støer, Peh Joo Ho, et al.
STAR Protocols
|
May 13, 2023
A universal AutoScore framework to develop interpretable scoring systems for predicting common types of clinical outcomes
Feng Xie, Yilin Ning, Mingxuan Liu, et al.
Page
of 6
Search research articles
Search
Showing results (31-40 of 54) with videos related to
Sort By:
Page
of 6
Journal of Biomedical Informatics
|
April 14, 2022
AutoScore-Imbalance: An interpretable machine learning tool for development of clinical scores with rare events data
Han Yuan, Feng Xie, Marcus Eng Hock Ong, et al.
Statistical Methods in Medical Research
|
December 27, 2017
A stratification approach using logit-based models for confounder adjustment in the study of continuous outcomes
Chuen Seng Tan, Nathalie C Støer, Ying Chen, et al.
JAMA Ophthalmology
|
November 29, 2023
Topical Atropine for Childhood Myopia Control: The Atropine Treatment Long-Term Assessment Study
Yong Li, Michelle Yip, Yilin Ning, et al.
International Journal of Medical Informatics
|
November 10, 2018
Feasibility of representing adherence to blood glucose monitoring through visualizations: A pilot survey study among healthcare workers
Ying Chen, Shih Ling Kao, Maudrene Tan, et al.
Eclinicalmedicine
|
March 14, 2022
Development and validation of an interpretable machine learning scoring tool for estimating time to emergency readmissions
Feng Xie, Nan Liu, Linxuan Yan, et al.
Diabetes Research and Clinical Practice
|
September 13, 2017
Longitudinal trends in HbA1c and associations with comorbidity and all-cause mortality in Asian patients with type 2 diabetes: A cohort study
Miyang Luo, Wei Yen Lim, Chuen Seng Tan, et al.
Health Data Science
|
September 8, 2025
Bridging Data Gaps in Healthcare: A Scoping Review of Transfer Learning in Structured Data Analysis
Siqi Li, Xin Li, Kunyu Yu, et al.
Health Data Science
|
December 5, 2024
Federated Learning in Healthcare: A Benchmark Comparison of Engineering and Statistical Approaches for Structured Data Analysis
Siqi Li, Di Miao, Qiming Wu, et al.
BMC Medical Research Methodology
|
June 8, 2020
Robust estimation of the effect of an exposure on the change in a continuous outcome
Yilin Ning, Nathalie C Støer, Peh Joo Ho, et al.
STAR Protocols
|
May 13, 2023
A universal AutoScore framework to develop interpretable scoring systems for predicting common types of clinical outcomes
Feng Xie, Yilin Ning, Mingxuan Liu, et al.
Page
of 6