Data mining techniques applied in the neuropsychology domain: a systematic review

Abstract

The vast amount of data collected in the health care field allows researchers to apply different data mining techniques that may support and improve patients’ condition. The neurocognitive field represents a new area of interest in which data mining techniques could be extremely useful to diagnose and treat impairments. This systematic literature review aims to identify the most relevant data mining techniques, tools, and approaches to collect, process, and represent results used in neuropsychology for the analysis of memory and cognitive attention. The results will contribute to the development of new tools to evaluate the neuropsychological variables cited before in elderly people in the context of a normal aging process.