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Big Brain Data Science & Predictive Health Analytics

Ivo D. Dinov is a professor and Associate Director for Education & Training at Michigan Institute for Data Science and is the Director of the Statistics Online Computation Resource in the Department of Health Behavior & Biological Sciences at University of Michigan. In this video Dr. Dinov will present a lecture titled, “Big Brain Data Science & Predictive Health Analytics.” Video Description This presentation will focus on Predictive Big Data Analytics. We will define the characteristic properties of Big Data, examine methodological & computational challenges, showcase health science applications, & identify research opportunities. We will utilize general population data, biosocial (e.g., Medicare/Economics) and neurodegenerative disorders (e.g., Parkinson’s Disease) case-studies to demonstrate Specific solutions. The foundations of a Compressive Big Data Analytics (CBDA) technique will be presented that allow generic representation, modeling & inference on large, incongruent, multi-source, incomplete & multi-scale datasets. About the Speaker Dr. Dinov is the Director of the Statistics Online Computational Resource (SOCR) and is an expert in mathematical modeling, statistical analysis, high-throughput computational processing and scientific visualization of large datasets (Big Data). His applied research is focused on neuroscience, nursing informatics, multimodal biomedical image analysis, and distributed genomics computing. Examples of specific brain research projects Dr. Dinov is involved in include longitudinal morphometric studies of development (e.g., Autism, Schizophrenia), maturation (e.g., depression, pain) and aging (e.g., Alzheimer’s disease, Parkinson’s disease). Bio from: nursing.umich.edu/faculty-staff/faculty/ivo-d-dinov View slides from this lecture: https://drive.google.com/open?id=1Lws... Visit our webpage to view archived videos covering various topics in data science: https://bigdatau.ini.usc.edu/data-sci...