67 citations · 174 across the 5 of their papers we have counts for
5 papers
DPVis: Visual Analytics with Hidden Markov Models for Disease Progression Pathways
Bum Chul Kwon, Vibha Anand, Kristen A Severson +5
Clinical researchers use disease progression models to understand patient status and characterize progression patterns from longitudinal health records. One approach for disease pr…
Simultaneous Modeling of Multiple Complications for Risk Profiling in Diabetes Care
Bin Liu, Ying Li, Soumya Ghosh +3
Type 2 diabetes mellitus (T2DM) is a chronic disease that often results in multiple complications. Risk prediction and profiling of T2DM complications is critical for healthcare pr…
Boosting Deep Learning Risk Prediction with Generative Adversarial Networks for Electronic Health Records
Zhengping Che, Yu Cheng, Shuangfei Zhai +2
The rapid growth of Electronic Health Records (EHRs), as well as the accompanied opportunities in Data-Driven Healthcare (DDH), has been attracting widespread interests and attenti…
Exploiting Convolutional Neural Network for Risk Prediction with Medical Feature Embedding
Zhengping Che, Yu Cheng, Zhaonan Sun +1
The widespread availability of electronic health records (EHRs) promises to usher in the era of personalized medicine. However, the problem of extracting useful clinical representa…
Statistical calibration of qRT-PCR, microarray and RNA-Seq gene expression data with measurement error models
Zhaonan Sun, Thomas Kuczek, Yu Zhu
The accurate quantification of gene expression levels is crucial for transcriptome study. Microarray platforms are commonly used for simultaneously interrogating thousands of genes…