A network-based classification framework for predicting treatment response of schizophrenia patients

作者：

Highlights：

• Network analysis is used to identify key symptoms of schizophrenia.

• Selected symptoms effectively predict treatment response of schizophrenia patients.

• Prediction with network based features outperforms other feature selection methods.

摘要

•Network analysis is used to identify key symptoms of schizophrenia.•Selected symptoms effectively predict treatment response of schizophrenia patients.•Prediction with network based features outperforms other feature selection methods.

论文关键词：Network analysis,Feature selection,Classification,Treatment resistance,Schizophrenia

论文评审过程：Received 17 August 2017, Revised 17 February 2018, Accepted 6 May 2018, Available online 9 May 2018, Version of Record 28 May 2018.

论文官网地址：https://doi.org/10.1016/j.eswa.2018.05.005