@inproceedings{32567339ee0a4de9bc55f855a6ca5c30,
title = "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.",
keywords = "Attention, Data Mining, Memory, Neuropsychology",
author = "David Cordero and Alvear, \{Luis Miguel\} and Marcos Orellana and Acosta, \{Maria Ines\} and Alexandra Bueno and Lima, \{Juan Fernando\} and Andres Patino and Priscila Cedillo",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 1st International Conference of Digital Transformation and Innovation Technology, INCODTRIN 2020 ; Conference date: 28-10-2020 Through 30-10-2020",
year = "2020",
month = oct,
doi = "10.1109/Incodtrin51881.2020.00029",
language = "Ingl{\'e}s",
series = "Proceedings - 2020 International Conference of Digital Transformation and Innovation Technology, INCODTRIN 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "89--96",
booktitle = "Proceedings - 2020 International Conference of Digital Transformation and Innovation Technology, INCODTRIN 2020",
}