Exploring and Identifying Prognostic Phenotypes of Patients with Heart Failure Guided by Explainable Machine Learning

Identifying patient prognostic phenotypes facilitates precision medicine. This study aimed to explore phenotypes of patients with heart failure (HF) corresponding to prognostic condition (risk of mortality) and identify the phenotype of new patients by machine learning (ML). A unsupervised ML was ap...

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Detalles Bibliográficos
Autores principales: Zhou, Xue, Nakamura, Keijiro, Sahara, Naohiko, Asami, Masako, Toyoda, Yasutake, Enomoto, Yoshinari, Hara, Hidehiko, Noro, Mahito, Sugi, Kaoru, Moroi, Masao, Nakamura, Masato, Huang, Ming, Zhu, Xin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9224610/
https://www.ncbi.nlm.nih.gov/pubmed/35743806
http://dx.doi.org/10.3390/life12060776

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9224610/
https://www.ncbi.nlm.nih.gov/pubmed/35743806
http://dx.doi.org/10.3390/life12060776

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