Harnessing Data to Unveil Discoveries and Transform Health
MiCHAMP brings together faculty investigators from multiple U-M schools and colleges and is affiliated with the Institute for Healthcare Policy and Innovation (IHPI). 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, informaticians, and clinical researchers, investigative teams aim to transform patient care to improve quality and decrease healthcare costs.
This Friday is going to be GOOD - @danaikoutra presents 'Fast Inference and Mining of Functional Networks' for the @UM_MiCHAMP Seminar Series. Full schedule here: https://t.co/2MHG9odGO1
Daniel Zeiberg, Tejas Prahlad, @msjoding, @iwashyna sought to develop an automated ML approach for prediction of ARDS using EHR. Daniel & Tejas(pictured) were undergrads @UMengineering while doing this @ARC_UM MIDAS funded research. https://t.co/3xplyLJlPA @bnallamo