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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...
שמור ב:
| הוצא לאור ב: | Int J Environ Res Public Health |
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| Main Authors: | , , , , , , , , , |
| פורמט: | Artigo |
| שפה: | Inglês |
| יצא לאור: |
MDPI
2021
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| נושאים: | |
| גישה מקוונת: | 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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