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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...
Kaydedildi:
| Yayımlandı: | Stat |
|---|---|
| Asıl Yazarlar: | , , , , , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
2015
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| Konular: | |
| Online Erişim: | 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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