A two-phase iterative machine learning method in identifying mechanical biomarkers of peripheral neuropathy

作者：

Highlights：

• Proposition of an innovative iterative machine learning method.

• Dimensional reduction for small-size datasets in the setting of motor behavioral experiments.

• Identified biomarkers provide guidelines for future experiment design to detect early-stage CTS.

摘要

•Proposition of an innovative iterative machine learning method.•Dimensional reduction for small-size datasets in the setting of motor behavioral experiments.•Identified biomarkers provide guidelines for future experiment design to detect early-stage CTS.

论文关键词：Machine learning,Dimensionality,Small sample size,High correlation,Peripheral neuropathy,Carpal tunnel syndrome

论文评审过程：Received 4 September 2020, Revised 8 November 2020, Accepted 15 November 2020, Available online 23 November 2020, Version of Record 3 January 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.114333