Dear all We are very happy to officially announce the 1st Predictive Analytics in Mental Health Competition (PAC). This year, we invite you to develop machine learning models which correctly label previously unknown datasets as stemming from either depressive or healthy individuals based on resting-state functional Magnetic Resonance Imaging (rs-fMRI) data.
The team submitting the model classifying most new, previously unseen datasets correctly will win this year's PAC and be invited to present their model at the Biennial Conference on Resting State and Brain Connectivity (www.restingstate.com) in Vienna in September 2016. The data for this competition was provided by the PsyMRI Consortium – a organization aimed at a multicenter-based utilization of resting-state magnetic resonance data from member sites with a focus on major depressive disorder (MDD) and neurodegenerative diseases. Consortium members from 11 institutions around the world provided de-identified, HIPAA compliant rs-fMRI datasets from 436 subjects with and without depression for training. All details can be found at http://psymri.org/PAC.html#pac_info Please forward this to anyone who might be interested. Sincerely, The PAC Team ------------------------------------------------------------------------------ What NetFlow Analyzer can do for you? Monitors network bandwidth and traffic patterns at an interface-level. Reveals which users, apps, and protocols are consuming the most bandwidth. Provides multi-vendor support for NetFlow, J-Flow, sFlow and other flows. Make informed decisions using capacity planning reports. http://sdm.link/zohodev2dev _______________________________________________ Scikit-learn-general mailing list Scikit-learn-general@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
