10 citations · 11 across the 4 of their papers we have counts for
4 papers
A novel method for Causal Structure Discovery from EHR data, a demonstration on type-2 diabetes mellitus
Xinpeng Shen, Sisi Ma, Prashanthi Vemuri +3
Introduction: The discovery of causal mechanisms underlying diseases enables better diagnosis, prognosis and treatment selection. Clinical trials have been the gold standard for de…
Incorporating Causal Effects into Deep Learning Predictions on EHR Data
Jia Li, Haoyu Yang, Xiaowei Jia +3
Electronic Health Records (EHR) data analysis plays a crucial role in healthcare system quality. Because of its highly complex underlying causality and limited observable nature, c…
Mining Electronic Health Records: A Survey
Pranjul Yadav, Michael Steinbach, Vipin Kumar +1
The continuously increasing cost of the US healthcare system has received significant attention. Central to the ideas aimed at curbing this trend is the use of technology, in the f…
Causal Inference in Observational Data
Pranjul Yadav, Lisiane Prunelli, Alexander Hoff +4
Our aging population increasingly suffers from multiple chronic diseases simultaneously, necessitating the comprehensive treatment of these conditions. Finding the optimal set of d…