Machine learning prognosis model based on patient-reported outcomes for chronic heart failure patients after discharge

BACKGROUND: Patient-reported outcomes (PROs) can be obtained outside hospitals and are of great significance for evaluation of patients with chronic heart failure (CHF). The aim of this study was to establish a prediction model using PROs for out-of-hospital patients. METHODS: CHF-PRO were collected...

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Detalles Bibliográficos
Autores principales: Tian, Jing, Yan, Jingjing, Han, Gangfei, Du, Yutao, Hu, Xiaojuan, He, Zixuan, Han, Qinghua, Zhang, Yanbo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10053412/
https://www.ncbi.nlm.nih.gov/pubmed/36978124
http://dx.doi.org/10.1186/s12955-023-02109-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10053412/
https://www.ncbi.nlm.nih.gov/pubmed/36978124
http://dx.doi.org/10.1186/s12955-023-02109-x

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