Development of an Electronic Frailty Index for Predicting Mortality and Complications Analysis in Pulmonary Hypertension Using Random Survival Forest Model

BACKGROUND: The long-term prognosis of the cardio-metabolic and renal complications, in addition to mortality in patients with newly diagnosed pulmonary hypertension, are unclear. This study aims to develop a scalable predictive model in the form of an electronic frailty index (eFI) to predict diffe...

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Detalles Bibliográficos
Autores principales: Zhou, Jiandong, Chou, Oscar Hou In, Wong, Ka Hei Gabriel, Lee, Sharen, Leung, Keith Sai Kit, Liu, Tong, Cheung, Bernard Man Yung, Wong, Ian Chi Kei, Tse, Gary, Zhang, Qingpeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Cardiovascular Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9304657/
https://www.ncbi.nlm.nih.gov/pubmed/35872897
http://dx.doi.org/10.3389/fcvm.2022.735906

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9304657/
https://www.ncbi.nlm.nih.gov/pubmed/35872897
http://dx.doi.org/10.3389/fcvm.2022.735906

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