Repositori institucional URV
| URV's Author/s: | Abdellatif Fatahallah Ibrahim Mahmoud, Hatem / Abdelnasser Mohamed Mahmoud, Mohamed / Puig Valls, Domènec Savi / Yadav, Gaurav Kumar |
| Author, as appears in the article.: | Kumar Yadav, Gaurav; Moreno Vidales, Benigno; Duenas, Sara; Abdel-Nasser, Mohamed; Rashwan, Hatem A; Puig, Domenec; Nandi, G C |
| Author's mail: | domenec.puig@urv.cat gauravkumar.yadav@urv.cat hatem.abdellatif@urv.cat mohamed.abdelnasser@urv.cat gauravkumar.yadav@urv.cat |
| Author identifier: | 0000-0002-0562-4205 0000-0001-7022-290X 0000-0001-5421-1637 0000-0002-1074-2441 0000-0001-7022-290X |
| Journal publication year: | 2022 |
| Publication Type: | Proceedings Paper |
| APA: | Kumar Yadav, Gaurav; Moreno Vidales, Benigno; Duenas, Sara; Abdel-Nasser, Mohamed; Rashwan, Hatem A; Puig, Domenec; Nandi, G C (2022). Predicting Personalized Quality of Life of an Intellectually Disabled Person Utilizing Machine Learning. Amsterdam: IOS Press |
| Papper original source: | Frontiers In Artificial Intelligence And Applications. 356 139-142 |
| Abstract: | This work aims to enhance dependent persons' quality of life (QOL) by examining various aspects of their lives and providing the required assistance to enhance each aspect of their QOL. We employ machine learning methods to evaluate the eight aspects of QOL and forecast the corresponding index value. Machine learning algorithms input eight aspects of QOL and predict the QOL index value. The QOL Index value says the requirement of the support to a person, and it depends on eight aspects of the QOL. We use our dataset to train the machine learning model. Dataset is collected using the GENCAT scale tool, which takes 69 items and provides the score value for each aspect of the QOL. We apply many linear and nonlinear machine learning regression algorithms. The multiple linear regression algorithm results show better performance for root mean squared error (1.4729) and R-2 score (0.9918). |
| Article's DOI: | 10.3233/FAIA220327 |
| Link to the original source: | https://ebooks.iospress.nl/doi/10.3233/FAIA220327 |
| Papper version: | info:eu-repo/semantics/publishedVersion |
| licence for use: | https://creativecommons.org/licenses/by/3.0/es/ |
| Department: | Enginyeria Informàtica i Matemàtiques |
| Licence document URL: | https://repositori.urv.cat/ca/proteccio-de-dades/ |
| Thematic Areas: | Artificial intelligence Ciências agrárias i Comunicació i informació Engenharias iii Engenharias iv General o multidisciplinar Información y documentación Interdisciplinar Medicina ii |
| Keywords: | And machine learnin Intellectual and developmental disability Machine learning Priority of care Quality of life Support paradigm |
| Entity: | Universitat Rovira i Virgili |
| Record's date: | 2024-09-21 |
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