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Deep Learning and Other Advanced Methods in Healthcare | Non-Imaging Examples

500 Interstate Boulevard South #Suite 200 | Nashville, TN 37210
Tue, Jan 16  5:30 pm
Abstract: The healthcare industry is undergoing transformational changes due to the advent of advanced analytics and advanced machine learning and AI research. A major focus of applied research in healthcare seem to be in the medical imaging domain where deep learning has made major strides. In this talk I would like to present some success stories on how I applied some advanced machine learning and deep learning algorithms like autoencoders and LSTM networks in non-imaging applications.

Speaker: Arun Aryasomayajula is a data scientist at PopHealthCare® (www.pophealthcare.com) focusing on advanced analytics and ML/AI solutions in the Medicare risk adjustment and analytics space. Arun has been working in the areas of advanced machine learning/deep learning applications in both provider and payor settings. Prior to joining PopHealthCare, he worked as founding member of data science teams at Aspire Healthcare, Tenet Healthcare and Geisinger Health devising algorithms in to assist accountable care organization(ACOs) and various other departments like emergency services, immunology and clinical engineering. He received graduate degrees in Experimental Particle Physics and Civil Engineering (Operations Research) from Texas A&M University, College Station, and has authored in several peer reviewed journals and conferences.
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