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
Autores principales: 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: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7967359/
https://www.ncbi.nlm.nih.gov/pubmed/33799968
http://dx.doi.org/10.3390/ijerph18052679

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7967359/
https://www.ncbi.nlm.nih.gov/pubmed/33799968
http://dx.doi.org/10.3390/ijerph18052679

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