Abstract #3087

Automated machine learning classification of first-episode schizophrenia and controls using cerebral morphometric features

Huaiqiang Sun¹, Haoyang Xing^1,2, Su Lui¹, Xiaoqi Huang¹, Xiaoyue Zhou³, John A Sweeney^1,4, and Qiyong Gong¹

¹Huaxi Magnetic Resonance Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China, ²College of Physical Science and Technology, Sichuan University, Chengdu, China, ³MR Collaboration, Siemens Healthcare Ltd., Shanghai, China, ⁴Department of Psychiatry, University of Cincinnati, Cincinnati, OH, United States

Discriminate the first-episode schizophrenia patient with optimal feature set and classification model identified by automated machine learning algorithm

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