Harnessing Data to Unveil Discoveries and Transform Health

MiCHAMP is composed of faculty investigators from six U-M Schools and Colleges [Medicine; Engineering; Nursing; Public Health; Literature, Science & the Arts (Statistics); Pharmacy] and CSCAR. The primary goal of this multidisciplinary research collaborative is to harness existing national, regional and local healthcare data sets to develop medical prediction models that address complex clinical problems. Through rich interactions with data science methodologists, statisticians, informaticians, and clinical researchers, investigative teams aim to transform patient care to improve quality and decrease healthcare costs. MiCHAMP is funded through a Health Science Challenge Initiative grant from the Michigan Institute for Data Science (MIDAS) since March 2017.

Featured Member

Dr. Waljee’s research focuses on the use of machine learning techniques to implement decision support systems and tools that would facilitate more personalized care. He is working on the development of prediction tools and decision support systems to facilitate the delivery of timely and cost-effective therapy for “High Expense, Low Prevalence (HELP)” diseases in Gastroenterology and Hepatology.

Team Photos