Prediction of the Unified Parkinson’s Disease Rating Scale assessment using a genetic programming system with geometric semantic genetic operators

作者：

Highlights：

• Assessment of Parkinson’s disease (PD) symptom progression using a CI system.

• System that includes the concept of semantics in the search process.

• Results achieved using the largest database of PD speech in existence.

• Better results than the ones produced by standard GP and other ML methods.

• Results outperform the best published results achieved using the same dataset.

摘要

•Assessment of Parkinson’s disease (PD) symptom progression using a CI system.•System that includes the concept of semantics in the search process.•Results achieved using the largest database of PD speech in existence.•Better results than the ones produced by standard GP and other ML methods.•Results outperform the best published results achieved using the same dataset.

论文关键词：Unified Parkinson’s Disease Rating Scale,Genetic programming,Geometric operators,Semantics

论文评审过程：Available online 5 February 2014.

论文官网地址：https://doi.org/10.1016/j.eswa.2014.01.018