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Matched Learning for Optimizing Individualized Treatment Strategies Using Electronic Health Records
Current guidelines for treatment decision making largely rely on data from randomized controlled trials (RCTs) studying average treatment effects. They may be inadequate to make individualized treatment decisions in real-world settings. Large-scale electronic health records (EHR) provide opportuniti...
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| Publié dans: | J Am Stat Assoc |
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| Auteurs principaux: | , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
2019
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7539620/ https://ncbi.nlm.nih.gov/pubmed/33041401 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/01621459.2018.1549050 |
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