{"title":"异体造血干细胞移植后死亡率预测的可解释增强决策树","authors":"R. Shouval, A. Nagler, M. Labopin, R. Unger","doi":"10.4172/2153-0602.1000184","DOIUrl":null,"url":null,"abstract":"J Data Mining Genomics Proteomics ISSN: 2153-0602 JDMGP, an open access journal Volume 7 • Issue 1 • 1000184 Allogeneic (allo) hematopoietic stem transplantation (HSCT) is a potentially curative procedure for selected patients with hematological disease. Despite a reduction in transplant risk in recent years, morbidity and mortality remains substantial, making the decision of whom, how and when to transplant, of great importance [1].","PeriodicalId":15630,"journal":{"name":"Journal of Data Mining in Genomics & Proteomics","volume":"30 1 1","pages":"1-2"},"PeriodicalIF":0.0000,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Interpretable Boosted Decision Trees for Prediction of Mortality Following Allogeneic Hematopoietic Stem Cell Transplantation\",\"authors\":\"R. Shouval, A. Nagler, M. Labopin, R. Unger\",\"doi\":\"10.4172/2153-0602.1000184\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"J Data Mining Genomics Proteomics ISSN: 2153-0602 JDMGP, an open access journal Volume 7 • Issue 1 • 1000184 Allogeneic (allo) hematopoietic stem transplantation (HSCT) is a potentially curative procedure for selected patients with hematological disease. Despite a reduction in transplant risk in recent years, morbidity and mortality remains substantial, making the decision of whom, how and when to transplant, of great importance [1].\",\"PeriodicalId\":15630,\"journal\":{\"name\":\"Journal of Data Mining in Genomics & Proteomics\",\"volume\":\"30 1 1\",\"pages\":\"1-2\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Data Mining in Genomics & Proteomics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4172/2153-0602.1000184\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Data Mining in Genomics & Proteomics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4172/2153-0602.1000184","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Interpretable Boosted Decision Trees for Prediction of Mortality Following Allogeneic Hematopoietic Stem Cell Transplantation
J Data Mining Genomics Proteomics ISSN: 2153-0602 JDMGP, an open access journal Volume 7 • Issue 1 • 1000184 Allogeneic (allo) hematopoietic stem transplantation (HSCT) is a potentially curative procedure for selected patients with hematological disease. Despite a reduction in transplant risk in recent years, morbidity and mortality remains substantial, making the decision of whom, how and when to transplant, of great importance [1].
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