Machine Learning in Complex Data Session

David Kale from the USC Computer Science Department moderated the session “Machine Learning in Complex Medical Data”.  Medical Data exemplifies the “5 V’s” of Big Data: volume, velocity, veracity, variety, and value.  The session brought three expert panelists to address how complex medical data can be used to better understand the health care system. These speakers included Drake Pruitt of Lionsolver, Adam Perer from IBM, and Finale Doshi-Velez from Harvard Medical School.

David Kale – University of Southern California

David Kale is studying machine learning and data mining. In this interview he explains his vision for clinical decision support and discusses how to get the momentum going on a data analysis project.

MachineLearning

Machine Learning in Complex Data Session

David Kale from the USC Computer Science Department moderated the session “Machine Learning in Complex Medical Data”.  Medical Data exemplifies the “5 V’s” of Big Data: volume, velocity, veracity, variety, and value.  The session brought three expert panelists to address how complex medical data can be used to better understand the health care system. These speakers included Drake Pruitt of Lionsolver, Adam Perer from IBM, and Finale Doshi-Velez from Harvard Medical School.

kale

David Kale – University of Southern California

David Kale is studying machine learning and data mining. In this interview he explains his vision for clinical decision support and discusses how to get the momentum going on a data analysis project.