Comparison of risk models for mortality and cardiovascular events between machine learning and conventional logistic regression analysis

AIMS: Non-linear models by machine learning may identify different risk factors with different weighting in comparison to conventional linear models. METHODS AND RESULTS: The analyses were performed in 15,933 patients included in the Shinken Database (SD) 2004–2014 (n = 22,022) for whom baseline dat...

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Detalles Bibliográficos
Autores principales: Suzuki, Shinya, Yamashita, Takeshi, Sakama, Tsuyoshi, Arita, Takuto, Yagi, Naoharu, Otsuka, Takayuki, Semba, Hiroaki, Kano, Hiroto, Matsuno, Shunsuke, Kato, Yuko, Uejima, Tokuhisa, Oikawa, Yuji, Matsuhama, Minoru, Yajima, Junji
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6733605/
https://www.ncbi.nlm.nih.gov/pubmed/31499517
http://dx.doi.org/10.1371/journal.pone.0221911

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6733605/
https://www.ncbi.nlm.nih.gov/pubmed/31499517
http://dx.doi.org/10.1371/journal.pone.0221911

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