Machine Learning Applied to Neuroreabilitation: A Systematic Mapping

  • Flávia Gonçalves Fernandes Universidade Federal de Goiás - UFG
  • Eder Manoel de Santana Federal University of Uberlândia

Abstract

Machine learning and recommendation systems are tools used to improve the search indices of the most relevant items in large amounts of data that can be applied in the health area. To present a systematic mapping in the area of neurorehabilitation that uses machine learning. Analyze the references of the work carried out involving the theme on the application of machine learning in the area of neurorehabilitation. Search for studies enrolled in databases through logical operators for the selection of peer-reviewed journal articles. In addition, it was verified that the application of the systematic mapping in the elaboration of the bibliographic review allows to identify the main gaps for the development of new research, and to direct to the main publications related to the study. Therefore, it is necessary to promote this area of research to offer this public access to the techniques of neuro-rehabilitation as a form of treatment, acquisition of knowledge, motivation or even inclusion. In this way, it will be possible to obtain a greater maturity in the obtained results and, thus, to promote a systematization in the use of neuro-rehabilitation in the promotion of the well-being of these people.


 

Published
2020-02-29
How to Cite
FERNANDES, Flávia Gonçalves; DE SANTANA, Eder Manoel. Machine Learning Applied to Neuroreabilitation: A Systematic Mapping. Journal on Advances in Theoretical and Applied Informatics, [S.l.], v. 5, n. 1, feb. 2020. ISSN 2447-5033. Available at: <https://revista.univem.edu.br/jadi/article/view/3072>. Date accessed: 11 july 2020. doi: https://doi.org/10.26729/jadi.v5i1.3072.