Bias or biology? Importance of model interpretation in machine learning studies from electronic health records

OBJECTIVE: The rate of diabetic complication progression varies across individuals and understanding factors that alter the rate of complication progression may uncover new clinical interventions for personalized diabetes management. MATERIALS AND METHODS: We explore how various machine learning (ML...

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Detalles Bibliográficos
Autores principales: Momenzadeh, Amanda, Shamsa, Ali, Meyer, Jesse G
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Research and Applications
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9360778/
https://www.ncbi.nlm.nih.gov/pubmed/35958671
http://dx.doi.org/10.1093/jamiaopen/ooac063

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9360778/
https://www.ncbi.nlm.nih.gov/pubmed/35958671
http://dx.doi.org/10.1093/jamiaopen/ooac063

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