主題:    Building Risk Scores for Evaluating Survival after  Hematopoietic Cell Transplantation Using Pre-Tran主講人:   Lue Ping Zhao 地點:   松江校區一號沐鸣樓140報告廳時間:   2018-10-23 13:00:00組織單位:   計算機沐鸣

主講人簡介🏷：

Dr. Lue Ping Zhao has received his trainingfrom  Biostatistics, Computer Science, and Public Health Sciences, and has  engagedhimself in basic and clinical researches with high dimensional data, the  fieldof which now is often referred to as a Data Science .Currently, he devoted  mostof his energy to Big Data researches, encompassing large omics data  fromclinical translational researches as well as rich clinical and health data  fromElectronic Medical Records and Administrative Databases of Population  Health.

講座摘要〽️：

Cytogenetic aberrations (CA) have beenroutinely  used for risk-stratification of patients for allogeneic hematopoieticcell  transplantation (HCT) and are known to be associated with overall  survival(OS).Existing risk-stratification toolstypically use specific CA.Here  weintroduce an application of object-oriented regression technique (OOR)  toassess the prognostic impact of global CA on OS, i.e., a holistic  association,as opposed to conventional reductionist approach.The goal is to  build a prediction model (PM)and risk score (RS) for OS, after HCT.We utilized  pre-HCT cytogenetic andrelevant clinical data from 1,122 AML patients who  received HCT from year 2004to 2017 at Fred Hutch.Among them, 231AML patients  have at least one cytogenetic aberrations.We used 50% samples for training to  constructPM/RS, and remaining samples to validate PM/RS. Using novel OOR, we  designedand validated a cytogenetic-based new RS for OS after HCT.

語言：英文