Stroke analysis project leveraging medical data from UTHealth Houston and graph machine learning to help better allocate care to stroke patients wins Spring D2K showcase.

Under the sponsorship of Dr. Sean Savitz and Dr. Xiaoqian Jiang, seniors majoring in electrical and computer engineering at Rice University leveraged medical data provided by UTHealth Houston and graph learning to develop a deep learning model to forecast the likelihood of recurrent stroke incidence to help UTHealth better allocate care to stroke patients. 

Watch Team Stroke Risk's Summary Here

Sponsor Mentors Include:

• Xiaoqian Jiang, Professor, School of Biomedical Informatics, University of Health Science Center at Houston
• Sean Savitz, Professor of Neurology, McGovern Medical School, University of Health Science Center at Houston

Rice University Team Members include:

• Artun Bayer, Undergraduate Senior, Electrical and Computer Engineering
• Josue Casco-Rodriguez, Undergraduate Senior, Electrical and Computer Engineering
• Justin Cheung, Undergraduate Senior, Electrical and Computer Engineering
• Samantha Fuentes, Undergraduate Senior, Electrical and Computer Engineering
• Nick Glaze, Undergraduate Senior, Electrical and Computer Engineering
• Michael Sprintson, Undergraduate Senior, Electrical and Computer Engineering

Rice Faculty Mentor: Arko Barman, Assistant Teaching Professor, D2K Lab, Rice University