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.

Lionsolver: Machine Learning in Complex Medical Data

Drake Pruitt is CEO of Lionsolver, a software company specializing in the application of machine learning and optimization to health and life sciences. Drake has an extensive business background in advanced technologies that includes founding and senior management roles for Nextel Inc., Aquantive and Brocada, Inc. At Health 2.0 he talked about the clinical decision support aiding diagnosis, treatment guidelines and monitoring.

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.

Lionsolver

Lionsolver: Machine Learning in Complex Medical Data

Drake Pruitt is CEO of Lionsolver, a software company specializing in the application of machine learning and optimization to health and life sciences. Drake has an extensive business background in advanced technologies that includes founding and senior management roles for Nextel Inc., Aquantive and Brocada, Inc. At Health 2.0 he talked about the clinical decision support aiding diagnosis, treatment guidelines and monitoring.