Predicting Survival in Veterans with Follicular Lymphoma Using Structured Electronic Health Record Information and Machine Learning

The most accurate prognostic approach for follicular lymphoma (FL), progression of disease at 24 months (POD24), requires two years’ observation after initiating first-line therapy (L1) to predict outcomes. We applied machine learning to structured electronic health record (EHR) data to predict indi...

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Detalles Bibliográficos
Publicado en:Int J Environ Res Public Health
Main Authors: Li, Chunyang, Patil, Vikas, Rasmussen, Kelli M., Yong, Christina, Chien, Hsu-Chih, Morreall, Debbie, Humpherys, Jeffrey, Sauer, Brian C., Burningham, Zachary, Halwani, Ahmad S.
Formato: Artigo
Idioma:Inglês
Publicado: MDPI 2021
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Article
Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC7967359/
https://ncbi.nlm.nih.gov/pubmed/33799968
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/ijerph18052679
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