Journal Club

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.

Federated Queries of Clinical Data Repositories: the Sum of the Parts does not Equal the Whole

Join Editor-in-Chief Lucila Ohno-Machado and speaker Griffin M. Weber, MD, PhD, Chief Technology Officer of Harvard Medical School, online for the next webinar in the series, March 7, 2013 at 3:00 p.m. EST.

  • Get insights directly from highly esteemed authors on the most relevant topics in informatics, as published in JAMIA.

  • Get up-close-and-personal with informatics experts to ask questions and clarify issues.

  • Learn what authors are planning as next steps in their research.


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