Development of Machine Learning Algorithms Incorporating Electronic Health Record Data, Patient-Reported Outcomes, or Both to Predict Mortality for Outpatients With Cancer

Machine learning (ML) algorithms that incorporate routinely collected patient-reported outcomes (PROs) alongside electronic health record (EHR) variables may improve prediction of short-term mortality and facilitate earlier supportive and palliative care for patients with cancer. METHODS: We trained...

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Detalles Bibliográficos
Autores principales: Parikh, Ravi B., Hasler, Jill S., Zhang, Yichen, Liu, Manqing, Chivers, Corey, Ferrell, William, Gabriel, Peter E., Lerman, Caryn, Bekelman, Justin E., Chen, Jinbo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2022
Materias:
ORIGINAL REPORTS
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10166444/
https://www.ncbi.nlm.nih.gov/pubmed/36480775
http://dx.doi.org/10.1200/CCI.22.00073

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10166444/
https://www.ncbi.nlm.nih.gov/pubmed/36480775
http://dx.doi.org/10.1200/CCI.22.00073

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