MiCHAMP’s mission is to develop and use novel Data Science methods to tackle real-world health problems, create practical solutions by employing a reusable and sustainable research platform, and train future leaders in Data Science-driven healthcare research and delivery.
Michigan Institute for Data Science (MIDAS) for its proposal “From Big Data to Vital Insights”. Experts led by Dr. Brahmajee Nallamothu MD, MPH (Internal Medicine – Cardiovascular Medicine) from the U-M Medical School, College of Engineering, School of Nursing, School of Public Health, and the College of Literature, Science, and the Arts are poised to tackle several compelling projects. The MIDAS Health Sciences grant focused on a core methodological problem that currently limits health research—exploiting patterns in data that evolve over time for novel discovery and prediction. Although healthcare produces an extraordinary amount of patient information, patterns of disease trajectories are frequently overlooked in favor of simplistic “snapshots” reflecting only a single moment in time. By incorporating more complex information about changes over time, we hope to improve medical prediction models. Our work addresses several pressing healthcare problems, including: (1) acute respiratory distress syndrome (ARDS) (i.e., sudden lung injury resulting from critical illness) and (2) chronic hepatitis C virus (HCV) infection (i.e., a long-term infection that may lead to severe liver disease). In addition, a critical and unique aspect of MiCHAMP is to develop a novel computational platform to enable the sharing, reusing, and remixing of data and models.MiCHAMP was awarded a $1.25 million Health Sciences grant from the
Affiliated Research Groups