Development of a Multilevel Model to Identify Patients at Risk for Delay in Starting Cancer Treatment

IMPORTANCE: Delays in starting cancer treatment disproportionately affect vulnerable populations and can influence patients’ experience and outcomes. Machine learning algorithms incorporating electronic health record (EHR) data and neighborhood-level social determinants of health (SDOH) measures may...

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Detalles Bibliográficos
Autores principales: Frosch, Zachary A. K., Hasler, Jill, Handorf, Elizabeth, DuBois, Tesla, Bleicher, Richard J., Edelman, Martin J., Geynisman, Daniel M., Hall, Michael J., Fang, Carolyn Y., Lynch, Shannon M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Association 2023
Materias:
Original Investigation
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10425824/
https://www.ncbi.nlm.nih.gov/pubmed/37578796
http://dx.doi.org/10.1001/jamanetworkopen.2023.28712

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10425824/
https://www.ncbi.nlm.nih.gov/pubmed/37578796
http://dx.doi.org/10.1001/jamanetworkopen.2023.28712

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