Improving an Electronic Health Record–Based Clinical Prediction Model Under Label Deficiency: Network-Based Generative Adversarial Semisupervised Approach

BACKGROUND: Observational biomedical studies facilitate a new strategy for large-scale electronic health record (EHR) utilization to support precision medicine. However, data label inaccessibility is an increasingly important issue in clinical prediction, despite the use of synthetic and semisupervi...

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Detalles Bibliográficos
Autores principales: Li, Runze, Tian, Yu, Shen, Zhuyi, Li, Jin, Li, Jun, Ding, Kefeng, Li, Jingsong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10337516/
https://www.ncbi.nlm.nih.gov/pubmed/37310778
http://dx.doi.org/10.2196/47862

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10337516/
https://www.ncbi.nlm.nih.gov/pubmed/37310778
http://dx.doi.org/10.2196/47862

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