Joint detection and clinical score prediction in Parkinson's disease via multi-modal sparse learning

作者：

Highlights：

• A novel framework for joint PD detection and clinical score prediction is proposed.

• A effective feature selection method for PD detection and prediction is proposed.

• Multi-modal neuroimaging data enhances performance of PD detection.

摘要

•A novel framework for joint PD detection and clinical score prediction is proposed.•A effective feature selection method for PD detection and prediction is proposed.•Multi-modal neuroimaging data enhances performance of PD detection.

论文关键词：Parkinson's disease,Feature selection,Classification,Prediction,Multi-modal data

论文评审过程：Received 16 November 2016, Revised 17 March 2017, Accepted 18 March 2017, Available online 19 March 2017, Version of Record 25 March 2017.

论文官网地址：https://doi.org/10.1016/j.eswa.2017.03.038