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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Vydáno v:Int J Environ Res Public Health
Hlavní autoři: Li, Chunyang, Patil, Vikas, Rasmussen, Kelli M., Yong, Christina, Chien, Hsu-Chih, Morreall, Debbie, Humpherys, Jeffrey, Sauer, Brian C., Burningham, Zachary, Halwani, Ahmad S.
Médium: Artigo
Jazyk:Inglês
Vydáno: MDPI 2021
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On-line přístup: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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