Description
Thisproject is to develop advanced deep learning model to predict early onset ofheart failure using electronic health records, including structured (e.g.,diagnosis, medication order, etc.) and unstructured (i.e., progress notes, imagereports, etc.)data.
PI is Jimeng Sun, Ph.D., School of Computational Sciences and Engineering at College of Computing, Georgia Institute of Technology. Site PI is Xiaowei Yan, Ph.D.
Principal Investigator
Xiaowei (Sherry) Yan, PhD, MS, External PI, Principal Investigator
Research Topics
Related Studies
COVID-19 Impacts on Cancer Care Management, Patient Experience and Care Costs
Investigators: Cheryl Stults, Ph.D., Monique de Bruin, M.D., MPH, Su-Ying Liang, Ph.D.
Stupski Serious Illness Program Evaluation
Investigator: Sylvia Sudat, PhD
Impact of COVID-19 on Cancer Care Management
Investigators: Su-Ying Liang, Ph.D., Monique de Bruin, M.D., MPH
The Impact of Smoking, Comorbidities, and Race/Ethnicity on COVID-19 Infection and Disease Severity
Investigator: Jiang Li, Ph.D., MPH
COVID-19 Universal Registry for Vital Evaluations (CURVE) Project
Investigator: Jiang Li, Ph.D., MPH
Statin Use and Risk Prediction of Atherosclerotic Cardiovascular Disease in Minority Subgroups (SURPASS) Study
Investigators: Jiang Li, Ph.D., MPH, External PI, Principal Investigator
Pilot Project in Applied Artificial Intelligence: Using Machine Learning to Improve the Safety of Hospital Care
Investigator: Sylvia Sudat, PhD
Quantifying 2D and 3D MRI Imaging For Improving MS Diagnosis, Treatment, And Clinical Care
Investigators: Xiaowei (Sherry) Yan, PhD, MS, J.B. Jones, PhD, MBA
Improving Cancer Care
Investigator: Su-Ying Liang, Ph.D.
Using Mobile Technology and Analytics to Track Outcomes in MS Patients
Investigators: Xiaowei (Sherry) Yan, PhD, MS, J.B. Jones, PhD, MBA