SPELTA-Miner: An expert system based on data mining and multilabel classification to design therapy plans for communication disorders

Vladimir Robles-Bykbaev, Diego Quisi-Peralta, Martín López-Nores, Alberto Gil-Solla, Jorge García-Duque

Research output: Contribution to conferencePaper

1 Scopus citations

Abstract

© 2016 IEEE. The ability to express feelings and needs, to share ideas or to establish relations is fundamental in different stages of human life. During language acquisition, a child develops several intellectual, psychological and emotional skills that support many other brain functions. On those grounds, speech-language therapy is a fundamental process for those people who suffer from communication disorders. However, currently in several developing countries there is a lack of rehabilitation services, and personnel of many centers overwork. In this paper, we present an expert system able to design therapy plans for patients suffering from disabilities related with communication. The system uses an approach based on natural language processing and multi-label classification to determine which strategies must be carried out in a therapy session. This approach has been tested on a database consisting on 1,345 strategies and 53 real cases of children with disabilities. In order to evaluate the generated plans we have measured accuracy and quality, obtaining encouraging results.
Original languageEnglish
Pages280-285
Number of pages6
DOIs
StatePublished - 18 Oct 2016
EventInternational Conference on Control, Decision and Information Technologies, CoDIT 2016 -
Duration: 18 Oct 2016 → …

Conference

ConferenceInternational Conference on Control, Decision and Information Technologies, CoDIT 2016
Period18/10/16 → …

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