This type of data repository allows queries, analytic applications and use of AI for individual and population management of those at risk for diabetes and its complications.
Islandia, NY (PRWEB)
July 30, 2017
James M. Maisel, MD, Chairman of ZyDoc, a New York-based medical informatics company, presented “Using Natural Language Processing (NLP) to Identify and Manage Patient Populations at Risk for Diabetes and Diabetic Complications” at the 5th World Congress of Diabetes in Prague, Czech Republic, July 14-17, 2017.
Dr. Maisel’s presentation draws on Artificial Intelligence (AI) work by ZyDoc’s MediSapien™ technologies team in developing NLP-powered analytics and real world data (RWD) management applications. The talk addressed how information may be collected as part of current medical record practices and used to standardize the data using NLP stored in a Diabetic Clinical Data Repository. This type of data repository allows queries, analytic applications and use of AI for individual and population management of those at risk for diabetes and its complications. The abstract is available online at zydoc.com.
Maisel is also chairman and founder of Retina Group of New York. Based on his work as a retinal specialist, he additionally served as chair for the Congress’ Diabetes Epidemiology, Prevention, Care and Management Section, and lecture on “Ocular Complications of Diabetes Mellitus and Laser, Surgery and Pharmacologic Treatment for Diabetic Retinopathy.” That abstract can be accessed online at rgony.com.
The 5th World Congress of Diabetes was hosted by BIT Group Global Ltd, July 12-14, 2017 in Prague, Czech Republic, at the Vienna House Diplomat Prague. More information is available online at http://www.bitcongress.com/wce2017.
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