Machine learning‐based model for predicting 1 year mortality of hospitalized patients with heart failure

AIMS: Individual risk stratification is a fundamental strategy in managing patients with heart failure (HF). Artificial intelligence, particularly machine learning (ML), can develop superior models for predicting the prognosis of HF patients, and administrative claim data (ACD) are suitable for ML a...

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Detalles Bibliográficos
Autores principales: Tohyama, Takeshi, Ide, Tomomi, Ikeda, Masataka, Kaku, Hidetaka, Enzan, Nobuyuki, Matsushima, Shouji, Funakoshi, Kouta, Kishimoto, Junji, Todaka, Koji, Tsutsui, Hiroyuki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Original Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8497366/
https://www.ncbi.nlm.nih.gov/pubmed/34390311
http://dx.doi.org/10.1002/ehf2.13556

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8497366/
https://www.ncbi.nlm.nih.gov/pubmed/34390311
http://dx.doi.org/10.1002/ehf2.13556

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