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Learning Personalized Treatment Rules from Electronic Health Records Using Topic Modeling Feature Extraction
To address substantial heterogeneity in patient response to treatment of chronic disorders and achieve the promise of precision medicine, individualized treatment rules (ITRs) are estimated to tailor treatments according to patient-specific characteristics. Randomized controlled trials (RCTs) provid...
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| Vydáno v: | Proc Int Conf Data Sci Adv Anal |
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| Hlavní autoři: | , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
2020
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7035126/ https://ncbi.nlm.nih.gov/pubmed/32090211 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/dsaa.2019.00054 |
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