Clinical Informatics

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Our group is dedicated to developing machine learning algorithms to leverage large medical data stored in Electronic Health Records. Our approach brings to bear new methods to derive accurate, multi-dimensional models from large collections of observational data.

Our research team brings together machine learning, natural language processing experts, database architects and programmers from the Center for Computational Learning Systems (CCLS) at Columbia University along with clinicians from Columbia University Medical Center (CUMC).

Project link:

http://www1.ccls.columbia.edu/~ansaf/CING/

Goal: 
Extract clinically useful medical knowledge from large amounts of medical data stored in Electronic Health Records (EHR) toward a better diagnosis and prevention of diseases and conditions.
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