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Prediction of Hematopoietic Stem Cell Transplantation Related Mortality- Lessons Learned from the In-Silico Approach: A European Society for Blood and Marrow Transplantation Acute Leukemia Working Party Data Mining Study
Models for prediction of allogeneic hematopoietic stem transplantation (HSCT) related mortality partially account for transplant risk. Improving predictive accuracy requires understating of prediction limiting factors, such as the statistical methodology used, number and quality of features collecte...
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| Udgivet i: | PLoS One |
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| Main Authors: | , , , , , , , , , , , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Public Library of Science
2016
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4778768/ https://ncbi.nlm.nih.gov/pubmed/26942424 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0150637 |
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