2022
Guisasola, A. C.; Ferreira, D.; Neto, C.; Abelha, A.; Machado, J.
Detecting Autism Spectrum Disorder Using Data Mining Proceedings Article
Em: A., Riola Rodriguez J. M. Fajardo-Toro C. H. Rocha (Ed.): pp. 271-281, Springer Science and Business Media Deutschland GmbH, 2022, ISSN: 21903018, (cited By 0; Conference of Multidisciplinary International Conference of Research Applied to Defense and Security, MICRADS 2021 ; Conference Date: 18 August 2021 Through 20 August 2021; Conference Code:267889).
Resumo | Links | BibTeX | Etiquetas: Autism spectrum disorders; Cognitive communications; Cognitive development; Communication skills; Cross industry; Cross-industry standard process for data mining; Data mining models; Industry standards; Social skills; Standards process, Classification (of information); Diseases, Data mining
@inproceedings{Guisasola2022271,
title = {Detecting Autism Spectrum Disorder Using Data Mining},
author = {A. C. Guisasola and D. Ferreira and C. Neto and A. Abelha and J. Machado},
editor = {Riola Rodriguez J. M. Fajardo-Toro C.H. Rocha A.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85119376845&doi=10.1007%2f978-981-16-4884-7_22&partnerID=40&md5=0b7fd71f51e6e6841168346ba356b94e},
doi = {10.1007/978-981-16-4884-7_22},
issn = {21903018},
year = {2022},
date = {2022-01-01},
journal = {Smart Innovation, Systems and Technologies},
volume = {255},
pages = {271-281},
publisher = {Springer Science and Business Media Deutschland GmbH},
abstract = {Autism spectrum disorder (ASD) is a set of neurodevelopmental disorders that affect cognitive development, social and communication skills, and behavior of affected individuals. The faster traces of ASD are identified, the faster the stimulation will begin and the more effective the gains in neuropsychomotor development will be. That being said, the earlier the diagnosis of ASD, the easier it is to control the disorder. Therefore, this study aims to classify the cases of ASD as “yes” if a patient has been diagnosed with ASD or “no” if a patient has not, using data mining (DM) models with classification techniques. The methodology of cross-industry standard process for data mining (CRISP-DM) was followed, and to induce the data mining models, the Rapidminer software was used. The results were quite promising reaching a level of accuracy of 97%, specificity of 95.45%, sensitivity of 100%, and precision of 95.65%. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.},
note = {cited By 0; Conference of Multidisciplinary International Conference of Research Applied to Defense and Security, MICRADS 2021 ; Conference Date: 18 August 2021 Through 20 August 2021; Conference Code:267889},
keywords = {Autism spectrum disorders; Cognitive communications; Cognitive development; Communication skills; Cross industry; Cross-industry standard process for data mining; Data mining models; Industry standards; Social skills; Standards process, Classification (of information); Diseases, Data mining},
pubstate = {published},
tppubtype = {inproceedings}
}