Outcome-Oriented Deep Temporal Phenotyping of Disease Progression
Author:
Funder
National Science Foundation
Office of Naval Q2 Research
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Biomedical Engineering
Link
http://xplorestaging.ieee.org/ielx7/10/9488160/09275296.pdf?arnumber=9275296
Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Characterising the genetic architecture of changes in adiposity during adulthood using electronic health records;Nature Communications;2024-07-10
2. LATTE: Label-efficient incident phenotyping from longitudinal electronic health records;Patterns;2024-01
3. Identification of Outcome-Oriented Progression Subtypes from Mild Cognitive Impairment to Alzheimer’s Disease Using Electronic Health Records;2023-08-04
4. Predictive Models for Health Deterioration: Understanding Disease Pathways for Personalized Medicine;Annual Review of Biomedical Engineering;2023-06-08
5. Review of Time Domain Electronic Medical Record Taxonomies in the Application of Machine Learning;Electronics;2023-01-21
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