Machine learning-based predictive modeling of depression in hypertensive populations

We aimed to develop prediction models for depression among U.S. adults with hypertension using various machine learning (ML) approaches. Moreover, we analyzed the mechanisms of the developed models. This cross-sectional study included 8,628 adults with hypertension (11.3% with depression) from the N...

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Detalles Bibliográficos
Autores principales: Lee, Chiyoung, Kim, Heewon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9337649/
https://www.ncbi.nlm.nih.gov/pubmed/35905087
http://dx.doi.org/10.1371/journal.pone.0272330

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9337649/
https://www.ncbi.nlm.nih.gov/pubmed/35905087
http://dx.doi.org/10.1371/journal.pone.0272330

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