Welcome to the Clinical informatics Group CING at Columbia University.

    Our group is dedicated to developing machine learning algorithms to leverage large medical data stored in Electronic Health Records. The ultimate goal is to extract clinically useful medical knowledge toward a better diagnosis and prevention of diseases and conditions. 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).

    Currently, our research focuses on two health outcomes: preterm birth and infantile colic.