Application of machine learning approaches to administrative claims data to predict clinical outcomes in medical and surgical patient populations

OBJECTIVE: This study aimed to develop and validate a claims-based, machine learning algorithm to predict clinical outcomes across both medical and surgical patient populations. METHODS: This retrospective, observational cohort study, used a random 5% sample of 770,777 fee-for-service Medicare benef...

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Detalles Bibliográficos
Autores principales: MacKay, Emily J., Stubna, Michael D., Chivers, Corey, Draugelis, Michael E., Hanson, William J., Desai, Nimesh D., Groeneveld, Peter W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8174683/
https://www.ncbi.nlm.nih.gov/pubmed/34081720
http://dx.doi.org/10.1371/journal.pone.0252585

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8174683/
https://www.ncbi.nlm.nih.gov/pubmed/34081720
http://dx.doi.org/10.1371/journal.pone.0252585

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