Clinical Machine Learning at NYU

Examining more Closely.
Via Principal Investigator David Sontag at NYU:

 Clinical machine learning
Our group is particularly interested in machine learning problems motivated by clinical medicine. We work on algorithms for electronic phenotyping in electronic health records, natural language processing from clinical text, disease progression modeling, and predictive analytics on health insurance claims. Our aim is to develop robust methodologies that work directly with the unstructured data found in electronic medical records, and which generalize between institutions without significant manual effort. We collaborate closely with the Emergency Medicine Informatics Research Lab at Beth Israel Deaconess Medical Center and with Independence Blue Cross. .... " 

See my report on his September 17 talk.  Includes detailed slides.