activity
20182021
most citedDeep Representation Learning of Patient Data from Electronic Health Records (EHR): A Systematic Review

250 citations · 257 across the 5 of their papers we have counts for

collaborators

8 papers

cs.LG20212 cited

A Fast PC Algorithm with Reversed-order Pruning and A Parallelization Strategy

Kai Zhang, Chao Tian, Kun Zhang +2

The PC algorithm is the state-of-the-art algorithm for causal structure discovery on observational data. It can be computationally expensive in the worst case due to the conditiona…

cs.CL20211 cited

An Empirical Study of UMLS Concept Extraction from Clinical Notes using Boolean Combination Ensembles

Greg M. Silverman, Raymond L. Finzel, Michael V. Heinz +10

Our objective in this study is to investigate the behavior of Boolean operators on combining annotation output from multiple Natural Language Processing (NLP) systems across multip…

cs.LG20212 cited

Real-time Prediction for Mechanical Ventilation in COVID-19 Patients using A Multi-task Gaussian Process Multi-objective Self-attention Network

Kai Zhang, Siddharth Karanth, Bela Patel +2

We propose a robust in-time predictor for in-hospital COVID-19 patient's probability of requiring mechanical ventilation. A challenge in the risk prediction for COVID-19 patients l…

cs.LG2020250 cited

Deep Representation Learning of Patient Data from Electronic Health Records (EHR): A Systematic Review

Yuqi Si, Jingcheng Du, Zhao Li +5

Patient representation learning refers to learning a dense mathematical representation of a patient that encodes meaningful information from Electronic Health Records (EHRs). This…

eess.IV20192 cited

From Brain Imaging to Graph Analysis: a study on ADNI's patient cohort

Rui Zhang, Luca Giancardo, Danilo A. Pena +3

In this paper, we studied the association between the change of structural brain volumes to the potential development of Alzheimer's disease (AD). Using a simple abstraction techni…

stat.AP2019

Combining Representation Learning with Tensor Factorization for Risk Factor Analysis - an application to Epilepsy and Alzheimer's disease

Xiaoqian Jiang, Samden Lhatoo, Guo-Qiang Zhang +2

Existing studies consider Alzheimer's disease (AD) a comorbidity of epilepsy, but also recognize epilepsy to occur more frequently in patients with AD than those without. The goal…