M-health mobile app usability tested with engineering students

dc.contributor.authorAparicio Galisteo, Fernando
dc.contributor.authorGaya López, María Cruz
dc.contributor.authorDe Buenaga Rodríguez, Manuel
dc.contributor.authorGachet Páez, Diego
dc.date.accessioned2015-10-27T09:49:45Z
dc.date.available2015-10-27T09:49:45Z
dc.date.issued2015
dc.description.abstractThe mobile app presented in this paper allows to the end users automatically process an English or Spanish medical text entered manually. Then the system output allows to the users navigate and discover the meaning of some concepts extracted and other semantically related with them (these techniques are known as named entity recognition and some part of entity linking). The medical text entered by the users can be a health report or a clinical case for example. The user can paste directly the text or use a photo of the text to start the process. Our idea is to use this kind of mobile apps based on the results of intelligent systems, working in the background, in the educational process of medical students, involving the students throughout an active learning activity such as a case-based. We present here the usability evaluation of this mobile app carried out with computer engineer students.spa
dc.description.filiationUEMspa
dc.description.impactNo data (2015)spa
dc.identifier.citationAparicio, F., Gaya, M. C., de Buenaga, M., & Gachet, D. (2015). M-health mobile app usability tested with Engineering Students. 9th International Technology, Education and Development Conference, Madrid 2-4 March, 2015.spa
dc.identifier.isbn9788460657637
dc.identifier.issn23401079
dc.identifier.urihttp://hdl.handle.net/11268/4461
dc.language.isoengspa
dc.peerreviewedSispa
dc.rights.accessRightsrestricted accessen
dc.subject.uemSistemas informáticosspa
dc.subject.unescoInformática educativaspa
dc.titleM-health mobile app usability tested with engineering studentsspa
dc.typeconference outputspa
dspace.entity.typePublication
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relation.isAuthorOfPublication99b5c021-fefa-474f-ae8d-2e5ca721410a
relation.isAuthorOfPublicationba289417-f91f-4db3-a56e-9c10a61162ad
relation.isAuthorOfPublication.latestForDiscoveryee898524-fc9c-492a-94c0-455c8b9b5379

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