7 citations · 11 across the 5 of their papers we have counts for
7 papers
Public Health Informatics: Proposing Causal Sequence of Death Using Neural Machine Translation
Yuanda Zhu, Ying Sha, Hang Wu +3
Each year there are nearly 57 million deaths around the world, with over 2.7 million in the United States. Timely, accurate and complete death reporting is critical in public healt…
Improve Model Generalization and Robustness to Dataset Bias with Bias-regularized Learning and Domain-guided Augmentation
Yundong Zhang, Hang Wu, Huiye Liu +2
Deep Learning has thrived on the emergence of biomedical big data. However, medical datasets acquired at different institutions have inherent bias caused by various confounding fac…
DeepDeath: Learning to Predict the Underlying Cause of Death with Big Data
Hamid Reza Hassanzadeh, Ying Sha, May D. Wang
Multiple cause-of-death data provides a valuable source of information that can be used to enhance health standards by predicting health related trajectories in societies with larg…
MotifMark: Finding Regulatory Motifs in DNA Sequences
Hamid Reza Hassanzadeh, Pushkar Kolhe, Charles L. Isbell +1
The interaction between proteins and DNA is a key driving force in a significant number of biological processes such as transcriptional regulation, repair, recombination, splicing,…
DeeperBind: Enhancing Prediction of Sequence Specificities of DNA Binding Proteins
Hamid Reza Hassanzadeh, May D. Wang
Transcription factors (TFs) are macromolecules that bind to \textit{cis}-regulatory specific sub-regions of DNA promoters and initiate transcription. Finding the exact location of…
A Multi-Modal Graph-Based Semi-Supervised Pipeline for Predicting Cancer Survival
Hamid Reza Hassanzadeh, John H. Phan, May D. Wang
Cancer survival prediction is an active area of research that can help prevent unnecessary therapies and improve patient's quality of life. Gene expression profiling is being widel…