Risk prediction for chronic kidney disease progression using heterogeneous electronic health record data andtime series analysis
Adler Perotte, MD is an Associate Research Scientist in the Department of Biomedical Informatics and the Assistant Director for Technology at the Center for Advanced Technology for Columbia University. Dr. Perotte’s primary research area is the development and application of statistical machine learning methods, including probabilistic graphical models for biomedical informatics.
