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Advances in Intelligent Systems and Computing(1)
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scopus(4)
A Data Analytics Strategy to Identify mHealth Apps Quality Improvements. A Case Study
Conference ObjectAbstract: This study uses a dataset that comes from the employment of the Mobile App Rating Scale (MARS) modelPalabras claves:Genetic Algorithms, MARS, mHealth Apps, Principal ComponentsAutores:Andrés Larco, Carlos Montenegro, Cesar Yanez, Rolando ArmasFuentes:scopusMoving beyond limitations: Designing the helpdys app for children with dyslexia in rural areas
ArticleAbstract: Dyslexia is a relatively common language disorder which is generally ignored in rural communities. IPalabras claves:dyslexia, Inclusive education, Mobile Apps, Rural area, Sustainable apps, Web appsAutores:Andrés Larco, Cesar Yanez, Jorge Carrillo, Nelson Chicaiza, Sergio Luján-MoraFuentes:scopusMoving beyond limitations: Evaluating the quality of android apps in spanish for people with disability
Conference ObjectAbstract: Autism, Down syndrome and cerebral palsy, constitute the most common disabilities from a medical poiPalabras claves:Android apps, apps assessment, Autism, Cerebral palsy, Disability, Down syndromeAutores:Andrés Larco, Carlos Montenegro, Cesar Yanez, Sergio Luján-MoraFuentes:scopusIdentifying Key Quality Features of mHealth Applications: Unsupervised Feature Selection Approach: MARS Case Study
Conference ObjectAbstract: In this work, the influential features to improve mHealth apps quality are identified, using a wrappPalabras claves:MARS, mHealths apps quality, Multi-objective evolutionary algorithms, Unsupervised feature selectionAutores:Andrés Larco, Carlos Montenegro, Cesar Yanez, Rolando ArmasFuentes:scopus