{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,14]],"date-time":"2026-02-14T10:26:41Z","timestamp":1771064801923,"version":"3.50.1"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643682648","type":"print"},{"value":"9781643682655","type":"electronic"}],"license":[{"start":{"date-parts":[[2022,6,6]],"date-time":"2022-06-06T00:00:00Z","timestamp":1654473600000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,6,6]]},"abstract":"<jats:p>Attention-Deficit\/Hyperactivity Disorder (ADHD) is a neuro-developmental disorder characterized by inattention and\/or impulsivity-hyperactivity symptoms. Through Machine Learning methods and the SHAP approach, this work aims to discover which features have the most significant impact on the students\u2019 performance with ADHD in arithmetic, writing and reading. The SHAP allowed us to deepen the model\u2019s understanding and identify the most relevant features for academic performance. The experiments indicated that the Raven_Z IQ test score is the factor with the most significant impact on academic performance in all disciplines. Then, the mother\u2019s schooling, being from a private school, and the student\u2019s social class were the most frequently highlighted features. In all disciplines, the student having ADHD emerged as an important feature with a negative impact but less relevance than the previous features.<\/jats:p>","DOI":"10.3233\/shti220159","type":"book-chapter","created":{"date-parts":[[2022,6,7]],"date-time":"2022-06-07T09:33:13Z","timestamp":1654594393000},"source":"Crossref","is-referenced-by-count":1,"title":["Predictions of Academic Performance of Children and Adolescents with ADHD Using the SHAP Approach"],"prefix":"10.3233","author":[{"given":"Marcelo","family":"Balbino","sequence":"first","affiliation":[{"name":"Dept. of Computing and Civil Construction, Federal Center for Technological Education of Minas Gerais, Brazil"},{"name":"Dept. of Computing, Pontifical Catholic University of Minas Gerais, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Caroline","family":"Jandre","sequence":"additional","affiliation":[{"name":"Dept. of Computing, Pontifical Catholic University of Minas Gerais, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"D\u00e9bora","family":"de Miranda","sequence":"additional","affiliation":[{"name":"Dept. of Pediatrics, Federal University of Minas Gerais, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Cristiane","family":"Nobre","sequence":"additional","affiliation":[{"name":"Dept. of Computing, Pontifical Catholic University of Minas Gerais, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","MEDINFO 2021: One World, One Health \u2013 Global Partnership for Digital Innovation"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI220159","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,7]],"date-time":"2022-06-07T09:33:13Z","timestamp":1654594393000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI220159"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,6,6]]},"ISBN":["9781643682648","9781643682655"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti220159","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,6,6]]}}}