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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Bibliografiska uppgifter
I publikationen:Int J Environ Res Public Health
Huvudupphovsmän: Li, Chunyang, Patil, Vikas, Rasmussen, Kelli M., Yong, Christina, Chien, Hsu-Chih, Morreall, Debbie, Humpherys, Jeffrey, Sauer, Brian C., Burningham, Zachary, Halwani, Ahmad S.
Materialtyp: Artigo
Språk:Inglês
Publicerad: MDPI 2021
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Article
Länkar: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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