Early prediction of cognitive impairments using physiological signal for enhanced socioeconomic status
作者：
Highlights：
• Economic Impact of brain disorders.
• Inclusion of physiological signal and verbal learning test for assessing impact on socioeconomic structure.
• Using EEG signals for estimation of cognitive heuristics.
• Attempt to Identify underlying brain condition at an early stage using machine learning techniques.
• Utilizing different machine learning algorithms for enhancing prediction scores.
摘要
•Economic Impact of brain disorders.•Inclusion of physiological signal and verbal learning test for assessing impact on socioeconomic structure.•Using EEG signals for estimation of cognitive heuristics.•Attempt to Identify underlying brain condition at an early stage using machine learning techniques.•Utilizing different machine learning algorithms for enhancing prediction scores.
论文关键词：Electroencephalography,Cognitive load,Machine learning,Healthcare costs,CVLT,Working memory
论文评审过程：Received 26 July 2021, Revised 25 November 2021, Accepted 10 December 2021, Available online 13 January 2022, Version of Record 13 January 2022.
论文官网地址：https://doi.org/10.1016/j.ipm.2021.102845
