UT Arlington computer scientist is leading a new, National Science Foundation
project to mine electronic medical records data to help physicians personalize
patient treatment, predict health care needs and identify risks that can lead
Huang, an associate professor of the Computer Science & Engineering Department,
is the leading principal investigator on a $461,098 grant titled “Robust Large-Scale Electronic Medical Record
Data Mining Framework to Conduct Risk Stratification for Personalized
Intervention.” The work is part of an $892,587 collaborative research project
with UT Southwestern Medical Center and Southern Methodist University.
Heng Huang, assistant professor of Computer Science & Engineering.
“If collecting and deciphering this data can give doctors better information so they can give patients better health care, it will make a big difference,” Huang said. “We especially want to predict possible readmission dates for heart failure patients because timing is extremely important to them. It can be the difference between life and death.”
Huang also said the work also could help health care professionals find the balance between patient hospital stays and insurance company’s need to control hospital costs.
Last year, the Obama Administration announced the National Big Data Research and Development Initiative to address challenges and opportunities associated with “Big Data.” These are such massively large and complex data sets that they can’t be processed by traditional computer methods. Special algorithms are needed. The Big Data Initiative initially featured more than $200 million in new commitments from six federal departments and agencies.
Engineering Dean Khosrow Behbehani said
Huang’s work is a leading project in the emerging field of health informatics
data is becoming more and more a part of our lives. This research would help us
and our physicians make important health-care decisions,” Behbehani said. “Dr.
Huang’s work makes use of the increasingly large amounts of data being
generated in the health care community and will use it to develop systems that
help us live healthier, longer lives.”
said the research could lead to solving increasingly difficult big data
problems in the areas of climate prediction, safer manufacturing and
In the ongoing work, Huang teamed with the
University of Indiana, Purdue University and the University of Pennsylvania on big
data mining concerning the effects of drugs on patients by using the electronic
University of Texas at Arlington, a comprehensive research institution of more
than 33,300 students and more than 2,200 faculty members in the heart of North
Texas. It is the second largest institution in The University of Texas System.
Visit www.uta.edu to learn more.