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On Sparse representation for Optimal Individualized Treatment Selection with Penalized Outcome Weighted Learning
As a new strategy for treatment which takes individual heterogeneity into consideration, personalized medicine is of growing interest. Discovering individualized treatment rules (ITRs) for patients who have heterogeneous responses to treatment is one of the important areas in developing personalized...
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| 出版年: | Stat |
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| 主要な著者: | , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2015
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4394905/ https://ncbi.nlm.nih.gov/pubmed/25883393 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sta4.78 |
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