{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,22]],"date-time":"2025-02-22T05:26:58Z","timestamp":1740202018222,"version":"3.37.3"},"reference-count":0,"publisher":"IOS Press","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2013]]},"abstract":"<jats:p>Traumatic brain injury (TBI) is the leading cause of death and disability in children and young adults around the world. There is not enough on-field experience yet regarding which specific intervention (tasks or exercises assignation) is more appropriated to help therapists to design their cognitive rehabilitation (CR) plans. Our proposal is to consider the CR treatment as a sequence of tasks and to determine the associations between a CR treatment (or relevant subsequences of it) and the degree of response of the patient to it. In the proposed methodology, a clustering process is performed in such a way that treatment profiles (classes) are identified. Afterwards, responses to CR (improvements) of the patients placed in the different classes have been studied by means of conditional distributions of variables versus the classes. Analyzing CR tasks as treatment patterns offers a different perspective from the traditional single task focus, and may provide a comprehensive approach to therapists to design CR programs.<\/jats:p>","DOI":"10.3233\/978-1-61499-320-9-193","type":"book-chapter","created":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T10:21:00Z","timestamp":1740133260000},"source":"Crossref","is-referenced-by-count":0,"title":["Finding Patterns in Cognitive Rehabilitation"],"prefix":"10.3233","author":[{"family":"Garc&iacute;a-Rudolph Alejandro","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"family":"Gibert Karina","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Artificial Intelligence Research and Development"],"original-title":[],"deposited":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T10:58:54Z","timestamp":1740135534000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.medra.org\/servlet\/aliasResolver?alias=iospressISSNISBN&issn=0922-6389&volume=256&spage=193"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/978-1-61499-320-9-193","relation":{},"ISSN":["0922-6389"],"issn-type":[{"value":"0922-6389","type":"print"}],"subject":[],"published":{"date-parts":[[2013]]}}}