Communications of the ACM
Um Researchers Awarded For Using Big Data in Medical Studies
Researchers at the University of Michigan will be using big data to predict when individuals will be affected by diseases like depression and Hepatitis C.
Credit: Michelle Phillips/The Michigan Daily
The University of Michigan is receiving $3 million in funding from the Michigan Institute for Data Sciences to support three projects that will address issues in health and genetics using big data techniques.
The first project, M-CHAMP, focuses on predicting the outcomes of patients with acute lung injury following critical illness and chronic Hepatitis C infection. Although most predictive studies use a "snapshot" view of patient health to determine future outcomes, M-CHAMP researchers will rely on complex longitudinal data collected over time to better predict patient outcomes.
The Michigan Center for Single-Cell Genomic Data Analysis, the second project receiving funding, will analyze single-cell genomics for applications regarding cancer and cell development.
Finally, the Intern Health Study will use data collected from 1,000 medical interns to determine the relationships between circadian rhythms, mood, and sleep. The project's goal is the find patterns that indicate depression so measures can be taken to identify at-risk individuals.
Funding for the projects was granted as part of the Challenge Initiatives Program, which supports data scientists working to solve problems in areas of health sciences, transportation research, learning analytics, and social sciences.
From The Michigan Daily
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