首页|A probabilistic topic model for clinical risk stratification from electronic health records
A probabilistic topic model for clinical risk stratification from electronic health records
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NSTL
Elsevier
Background and objective: Risk stratification aims to provide physicians with the accurate assessment of a patient's clinical risk such that an individualized prevention or management strategy can be developed and delivered. Existing risk stratification techniques mainly focus on predicting the overall risk of an individual patient in a supervised manner, and, at the cohort level, often offer little insight beyond a flat score-based segmentation from the labeled clinical dataset. To this end, in this paper, we propose a new approach for risk stratification by exploring a large volume of electronic health records (EHRs) in an unsupervised fashion.
NSTL
Elsevier
