Machine learning predicting mortality in sarcoidosis patients admitted for acute heart failure

BACKGROUND: Sarcoidosis with cardiac involvement, although rare, has a worse prognosis than sarcoidosis involving other organ systems. OBJECTIVE: We used a large dataset to train machine learning models to predict in-hospital mortality among sarcoidosis patients admitted with heart failure (HF). MET...

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Detalles Bibliográficos
Autores principales: Dai, Qiying, Sherif, Akil A., Jin, Chengyue, Chen, Yongbin, Cai, Peng, Li, Pengyang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9795270/
https://www.ncbi.nlm.nih.gov/pubmed/36589310
http://dx.doi.org/10.1016/j.cvdhj.2022.08.001

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9795270/
https://www.ncbi.nlm.nih.gov/pubmed/36589310
http://dx.doi.org/10.1016/j.cvdhj.2022.08.001

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