{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T04:17:04Z","timestamp":1730175424118,"version":"3.28.0"},"reference-count":18,"publisher":"Sociedade Brasileira de Computa\u00e7\u00e3o - SBC","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"abstract":"<jats:p>O Transtorno do Espectro Autista (TEA) \u00e9 uma condi\u00e7\u00e3o neurol\u00f3gica que afeta a comunica\u00e7\u00e3o, intera\u00e7\u00e3o social, comportamento e aprendizado. M\u00e9todos de triagem como AQ e Q-CHAT foram desenvolvidos para agilizar a identifica\u00e7\u00e3o de sinais autistas. O presente trabalho analisa o desempenho de algoritmos de aprendizado de m\u00e1quina na triagem do TEA, tais como SVM, MLP, Regress\u00e3o Log\u00edstica, Naive Bayes, Floresta Aleat\u00f3ria e KNN, e a robustez destes modelos diante de poss\u00edveis erros nos dados. Os algoritmos s\u00e3o avaliados em conjuntos de dados com amostras baseadas em caracter\u00edsticas pessoais e quest\u00f5es simplificadas dos instrumentos AQ e Q-CHAT. Os experimentos apontam um bom desempenho obtido pelos m\u00e9todos SVM, MLP e Regress\u00e3o Log\u00edstica, por\u00e9m com significativa redu\u00e7\u00e3o da acur\u00e1cia em cen\u00e1rios com erros.<\/jats:p>","DOI":"10.5753\/sbbd.2024.240567","type":"proceedings-article","created":{"date-parts":[[2024,10,28]],"date-time":"2024-10-28T19:31:33Z","timestamp":1730143893000},"page":"53-65","source":"Crossref","is-referenced-by-count":0,"title":["An\u00e1lise da Robustez de Algoritmos de Aprendizado de M\u00e1quina em Dados do Transtorno do Espectro Autista"],"prefix":"10.5753","author":[{"given":"Saulo B. F.","family":"Lino","sequence":"first","affiliation":[]},{"given":"L\u00edvia A.","family":"Cruz","sequence":"additional","affiliation":[]},{"given":"Paulo T.","family":"Guerra","sequence":"additional","affiliation":[]}],"member":"3742","published-online":{"date-parts":[[2024,10,14]]},"reference":[{"key":"1","doi-asserted-by":"crossref","unstructured":"Allison, C., Auyeung, B., and Baron-Cohen, S. (2012). Toward brief \u201cred flags\u201d for autism screening: The short autism spectrum quotient and the short quantitative checklist in 1,000 cases and 3,000 controls. Journal of the American Academy of Child & Adolescent Psychiatry, 51(2):202\u2013212.","DOI":"10.1016\/j.jaac.2011.11.003"},{"key":"2","doi-asserted-by":"crossref","unstructured":"Allison, C., Baron-Cohen, S., Wheelwright, S., Charman, T., Richler, J., Pasco, G., and Brayne, C. (2008). The q-chat (quantitative checklist for autism in toddlers): a normally distributed quantitative measure of autistic traits at 18\u201324 months of age: preliminary report. Journal of autism and developmental disorders, 38:1414\u20131425.","DOI":"10.1007\/s10803-007-0509-7"},{"key":"3","unstructured":"APA, A. P. A. (2013). Diagnostic and Statistical Manual of Mental Disorders. American Psychiatric Association."},{"key":"4","doi-asserted-by":"crossref","unstructured":"Artoni, A. A., Barbosa, C., and Morandini, M. (2022). Autism spectrum disorder diagnosis assistance using machine learning. Revista de Inform\u00e1tica Te\u00f3rica e Aplicada, 29(3):36\u201353.","DOI":"10.22456\/2175-2745.126309"},{"key":"5","doi-asserted-by":"crossref","unstructured":"Baron-Cohen, S., Wheelwright, S., Skinner, R., Martin, J., and Clubley, E. (2001). The autism-spectrum quotient (aq): Evidence from asperger syndrome\/high-functioning autism, malesand females, scientists and mathematicians. Journal of autism and developmental disorders, 31:5\u201317.","DOI":"10.1023\/A:1005653411471"},{"key":"6","unstructured":"Ferreira, R. d. S. (2010). Autism testing: Uma ferramenta m\u00f3vel no aux\u00edlio ao pr\u00e9-diagn\u00f3stico do autismo. In Anais do XXII Confer\u00eancia Internacional sobre Inform\u00e1tica na Educa\u00e7\u00e3o. Fortaleza, Cear\u00e1-Brasil: Nuevas Ideas en Inform\u00e1tica Educativa, volume 13, pages 178\u2013187."},{"key":"7","doi-asserted-by":"crossref","unstructured":"Fitzgerald, M. (2017). The clinical gestalts of autism: Over 40 years of clinical experience with autism. In Fitzgerald, M. and Yip, J., editors, Autism, chapter 2. IntechOpen.","DOI":"10.5772\/65906"},{"key":"8","doi-asserted-by":"crossref","unstructured":"Garg, A., Parashar, A., Barman, D., Jain, S., Singhal, D., Masud, M., and Abouhawwash, M. (2022). Autism spectrum disorder prediction by an explainable deep learning approach. 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Journal of Autism and Developmental Disorders, 38(5):827\u2013839.","DOI":"10.1007\/s10803-007-0450-9"},{"key":"11","doi-asserted-by":"crossref","unstructured":"Lord, C., Risi, S., Lambrecht, L., Cook, E. H., Leventhal, B. L., DiLavore, P. C., Pickles, A., and Rutter, M. (2000). The autism diagnostic observation schedule\u2014generic: A standard measure of social and communication deficits associated with the spectrum of autism. Journal of autism and developmental disorders, 30:205\u2013223.","DOI":"10.1023\/A:1005592401947"},{"key":"12","doi-asserted-by":"crossref","unstructured":"Lord, C., Rutter, M., and Le Couteur, A. (1994). Autism diagnostic interview-revised: a revised version of a diagnostic interview for caregivers of individuals with possible pervasive developmental disorders. Journal of autism and developmental disorders, 24(5):659\u2013685.","DOI":"10.1007\/BF02172145"},{"key":"13","unstructured":"Lundberg, S. M. and Lee, S.-I. (2017). A unified approach to interpreting model predictions. In Guyon, I., Luxburg, U. V., Bengio, S., Wallach, H., Fergus, R., Vishwanathan, S., and Garnett, R., editors, Advances in Neural Information Processing Systems, volume 30. Curran Associates, Inc."},{"key":"14","doi-asserted-by":"crossref","unstructured":"Ribeiro, M. T., Singh, S., and Guestrin, C. (2016). \u201dwhy should i trust you?\u201dexplaining the predictions of any classifier. In Proceedings of the 22nd ACM SIGKDD international conference on knowledge discovery and data mining, pages 1135\u20131144.","DOI":"10.1145\/2939672.2939778"},{"key":"15","unstructured":"Thabtah, F. (2017). ASDTests: A mobile app for ASD screening. Dispon\u00edvel em: <a href=\"https:\/\/www.asdtests.com\/\"target=\"_blank\">[link]<\/a>. Acesso em: 10 de maio de 2024."},{"key":"16","doi-asserted-by":"crossref","unstructured":"Thabtah, F., Abdelhamid, N., and Peebles, D. (2019). 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