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.

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.