Machine Learning–Driven Models to Predict Prognostic Outcomes in Patients Hospitalized With Heart Failure Using Electronic Health Records: Retrospective Study

BACKGROUND: With the prevalence of cardiovascular diseases increasing worldwide, early prediction and accurate assessment of heart failure (HF) risk are crucial to meet the clinical demand. OBJECTIVE: Our study objective was to develop machine learning (ML) models based on real-world electronic heal...

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Detalles Bibliográficos
Autores principales: Lv, Haichen, Yang, Xiaolei, Wang, Bingyi, Wang, Shaobo, Du, Xiaoyan, Tan, Qian, Hao, Zhujing, Liu, Ying, Yan, Jun, Xia, Yunlong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8094022/
https://www.ncbi.nlm.nih.gov/pubmed/33871375
http://dx.doi.org/10.2196/24996

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8094022/
https://www.ncbi.nlm.nih.gov/pubmed/33871375
http://dx.doi.org/10.2196/24996

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