A multi-level classification framework for multi-site medical data: Application to the ADHD-200 collection

作者：

Highlights：

• A classification approach to face the heterogeneity of multisite medical databases.

• A promising learning scheme to develop consistent aid in diagnosis models.

• A case study on Attention Deficit Hyperactivity Disorder.

摘要

•A classification approach to face the heterogeneity of multisite medical databases.•A promising learning scheme to develop consistent aid in diagnosis models.•A case study on Attention Deficit Hyperactivity Disorder.

论文关键词：Clinical decision support systems,Decision trees,Multi-level approach,Attention Deficit Hyperactivity Disorder (ADHD)

论文评审过程：Received 2 May 2017, Revised 19 July 2017, Accepted 26 August 2017, Available online 30 August 2017, Version of Record 5 October 2017.

论文官网地址：https://doi.org/10.1016/j.eswa.2017.08.044