Data Science for Health

Data science provides excellent tools for health professionals to gain valuable knowledge from patient information and dataset. At the D2K Lab, students have the opportunity to work on projects sponsored by medical centers, researchers and health solution companies to tackle various topics of the industry, such as ECGs, preventive modeling, imaging analytics, and diagnostic accuracy, etc. 

Highlighted Data Science for Health Projects:

Inferring Genomic Signatures in Age-Related Macular Degeneration Across Different Stages
Pediatric Cardiac ICU Arrhythmias Detection
Beat-to-beat Classification of Unlabeled ECGs in Adult Populations
COVID-19 Houston Response Projects
D2K students develop a deep learning model to forecast stroke risk
An Automated Early Warning System to Help Doctors Save Babies
COVID Jigsaw
Exploring High Risk Factors in an Animal Model of SIDS