Longitudinal machine learning model for predicting systolic blood pressure in patients with heart failure

OBJECTIVE: Systolic blood pressure (SBP) strongly indicates the prognosis of heart failure (HF) patients, as it is closely linked to the risk of death and readmission. Hence, maintaining control over blood pressure is a vital factor in the management of these patients. In order to determine signific...

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Detalles Bibliográficos
Autores principales: NAJAFI-VOSOUGH, ROYA, FARADMAL, JAVAD, HOSSEINI, SEYED KIANOOSH, MOGHIMBEIGI, ABBAS, MAHJUB, HOSSEIN
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Pacini Editore Srl 2023
Materias:
Non-Comunicable Diseases
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10468193/
https://www.ncbi.nlm.nih.gov/pubmed/37654862
http://dx.doi.org/10.15167/2421-4248/jpmh2023.64.2.2887

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10468193/
https://www.ncbi.nlm.nih.gov/pubmed/37654862
http://dx.doi.org/10.15167/2421-4248/jpmh2023.64.2.2887

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