Click here for mobile version Are you leveraging analytics to understand key issues that will best position your healthcare organization for the future?

Don't miss out on this conference where national expert speakers will provide essential knowledge from those intimately involved with healthcare analytics. Be part of the 11th Annual Care Analytics Web Summit for a prolonged peak into healthcare analytics for 2019. Examine a framework for integrating social determinants of health into population health analytics. Consider application of time-dependent survival modeling in a study to predict survival of patients in hospice. Explore a case study that addresses how much data is enough to build an accurate deep learning model. WATCH THIS PREVIEW VIDEO   Key Speakers Jonathan Weiner, DrPH, Professor of Health Policy & Management and of Health Informatics; Director, Center for Population Health Information Technology (CPHIT); and Johns Hopkins ACG System Co-Developer and Scientific Director at the Johns Hopkins Bloomberg School of Public Health leads off with a presentation that examines the framework for integrating social determinant of health data into population health analytics. Ian Duncan, FSA, FIA, FCIA, MAAA, Adjunct Associate Professor of Actuarial Statistics, Department Of Statistics and Applied Probability, University of California, Santa Barbara and President, Santa Barbara Actuaries, Inc. will share results and insights from his work in time-dependent survival modeling to predict survival of patients in hospice. How much data is enough to build an accurate deep learning model? Jeffrey Heaton PhD, FLMI, ARA, Vice President and Data Scientist at RGA Reinsurance Company tackles one of the first and most difficult questions to answer early in any machine learning project. REGISTER NOW

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