Development and Application of a Machine Learning Approach to Assess Short-term Mortality Risk Among Patients With Cancer Starting Chemotherapy

IMPORTANCE: Patients with cancer who die soon after starting chemotherapy incur costs of treatment without the benefits. Accurately predicting mortality risk before administering chemotherapy is important, but few patient data–driven tools exist. OBJECTIVE: To create and validate a machine learning...

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Detalles Bibliográficos
Autores principales: Elfiky, Aymen A., Pany, Maximilian J., Parikh, Ravi B., Obermeyer, Ziad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Association 2018
Materias:
Original Investigation
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6324307/
https://www.ncbi.nlm.nih.gov/pubmed/30646043
http://dx.doi.org/10.1001/jamanetworkopen.2018.0926

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6324307/
https://www.ncbi.nlm.nih.gov/pubmed/30646043
http://dx.doi.org/10.1001/jamanetworkopen.2018.0926

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