BriefGPT.xyz
Nov, 2019
TASTE:基于时间和静态张量分解的电子健康记录表型化
TASTE: Temporal and Static Tensor Factorization for Phenotyping Electronic Health Records
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Ardavan Afshar, Ioakeim Perros, Haesun Park, Christopher deFilippi, Xiaowei Yan...
TL;DR
本文提出了一种名为TASTE的张量分解算法,能够同时考虑电子健康记录中的静态和时序信息,经综合实验验证,TASTE所提取的心力衰竭患者表型效果较好。
Abstract
phenotyping
electronic health records
(EHR) focuses on defining meaningful patient groups (e.g., heart failure group and diabetes group) and identifying the
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