Introduction and application of transfer learning in medical research
10.3969/j.issn.1672-8467.2024.06.020
- VernacularTitle:迁移学习简介及其在医学研究领域中的应用
- Author:
Lu-Lu PAN
1
;
Yong-Fu YU
;
Guo-You QIN
Author Information
1. 复旦大学公共卫生学院生物统计学教研室 上海 200032
- Keywords:
transfer learning;
estimation;
prediction
- From:
Fudan University Journal of Medical Sciences
2024;51(6):1016-1020
- CountryChina
- Language:Chinese
-
Abstract:
This paper introduces a transfer learning approach based on regression models and demonstrates its application in the medical field through an example.Using data from the 2013-2014 U.S.National Health and Nutrition Examination Survey,the study investigates the association of sleep duration with depression levels and depressive disorder.It employs demographic characteristics and lifestyle factors as predictor variables to predict depression levels and depressive disorder across different racial groups.Compared to models built solely on target racial groups,transfer learning enhances the accuracy of estimating the effect of sleep duration in the target group and improves the prediction accuracy for depression levels and depressive disorder.The results illustrate that transfer learning effectively integrates source data to significantly improve estimation and prediction capabilities of target models,especially in situations with limited target data and heterogeneous data sources.
