CDR-Detector: a chronic disease risk prediction model combining pre-training with deep reinforcement learning

CDR-Detector: a chronic disease risk prediction model combining pre-training with deep reinforcement learning

Abstract Chronic disease risk prediction based on electronic health record (EHR) is an important research direction of Internet healthcare. Current studies mainly focused on developing well-designed deep learning models to predict the disease risk based on large-scale and high-quality longitudinal E...

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Bibliographic Details
Main Authors: Shaofu Lin, Shiwei Zhou, Han Jiao, Mengzhen Wang, Haokang Yan, Peng Dou, Jianhui Chen
Format: Article
Language:English
Published: Springer 2024-12-01
Series:Complex & Intelligent Systems
Subjects:
Chronic risk prediction
Data imbalance
Electronic health records
Few-shot learning
Reinforcement learning
Online Access:https://doi.org/10.1007/s40747-024-01697-5
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https://doi.org/10.1007/s40747-024-01697-5

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