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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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| Publicado no: | J Am Stat Assoc |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2019
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| Assuntos: | |
| Acesso em linha: | 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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