Predictive Analytics in Mental Health Competition (PAC) Posted By: David Kennedy - Feb 6, 2018Tool/Resource: NITRC Community Dear all We are very happy to officially announce the start of this year's Predictive Analytics in Mental Health Competition (PAC) organized by the Machine Learning and Artificial Intelligence Group at the Laboratory for Translational Psychiatry at the University of Münster, Germany. In an effort to bring together machine learners, neuroimagers, and clinicians, we invite you to develop machine learning models which correctly label previously unknown datasets as stemming from either depressive or healthy individuals based on structural Magnetic Resonance Imaging (sMRI) data. The team submitting the model that most successfully classifies previously unseen datasets will win this year's PAC and be invited to present their model at the Annual Meeting of the Organization for Human Brain Mapping (https://www.humanbrainmapping.org/i4a/pa...) in Singapore in June 2018. The data for this competition - comprising sMRI datasets from N=2240 subjects with and without depression - was provided by the Translational Psychiatry Group. Thanks to Prof. Dannlowski's amazing team in Münster (https://www.medizin.uni-muenster.de/tran...). All details including the timeline and registration instructions can be found at http://www.photon-ai.com --> "PAC 2018". Also, make sure to join our PAC 2018 Slack channel to get to know other teams now. After all, the opportunity to network with and connect to machine learning researchers across disciplines is what the PAC is all about! Please also forward this to everyone who might be interested. Sincerely, Tim Hahn and the The PAC Team |
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