Using a cohort study of diabetes and peripheral artery disease to compare logistic regression and machine learning via random forest modeling

BACKGROUND: This study illustrates the use of logistic regression and machine learning methods, specifically random forest models, in health services research by analyzing outcomes for a cohort of patients with concomitant peripheral artery disease and diabetes mellitus. METHODS: Cohort study using...

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Detalles Bibliográficos
Autores principales: Austin, Andrea M., Ramkumar, Niveditta, Gladders, Barbara, Barnes, Jonathan A., Eid, Mark A., Moore, Kayla O., Feinberg, Mark W., Creager, Mark A., Bonaca, Marc, Goodney, Philip P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9685056/
https://www.ncbi.nlm.nih.gov/pubmed/36418976
http://dx.doi.org/10.1186/s12874-022-01774-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9685056/
https://www.ncbi.nlm.nih.gov/pubmed/36418976
http://dx.doi.org/10.1186/s12874-022-01774-8

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