[article] inAutism - Open Access > 8-3 [01/06/2018] . - 7 p.
| Titre : |
An Autism Screening Expert System: Reliability, Validity and Factorial Structure |
| Type de document : |
Texte imprimé et/ou numérique |
| Auteurs : |
Maryam MAHMOUDI, Auteur ; Saeed AKBARI-ZARDKHANEH, Auteur ; Amir Ali BAGHER ZADEH, Auteur ; Bagher GHOBARI-BONAB, Auteur ; Mohsen SHOKOOHI-YEKTA, Auteur ; Hadi MORADI, Auteur ; Hamid Reza POURETEMAD, Auteur |
| Article en page(s) : |
7 p. |
| Langues : |
Anglais (eng) |
| Mots-clés : |
Children with autism Expert system Screening Validity |
| Index. décimale : |
PER Périodiques |
| Résumé : |
Purpose: The main aim of the current study was to develop an expert system for screening autism spectrum disorders. The statistical properties of the system were further examined. Methods: To design an expert system, having a reliable and valid knowledge base (KL) is very important. To provide the knowledge base, items linked to autism diagnoses were collected from the literature and then reviewed by a group of psychologists and psychometrists experts. The questionnaire was completed by parents of children with autism (85), parents of normal children (65) and parents of children with Down syndrome (20). Next, some psychometric and machine learning methods were implemented to select the items having more power to discriminate children with autism from normal children and children with Down syndrome and evaluate its reliability and validity features. Results: Findings yielded good reliability (0.96) and criterion validity (0.86) for the system. The accuracy was about 0.93 and .92, using Random Forest (RF) and Support Vector Machines (SVM)), respectively. In addition, specificity and sensitivity of the system using SVM is 84.1 and 98.5%, respectively, while RF is 73.4 specificity and 99.3% sensitivity. Conclusion: This system can be considered as a reliable and valid system for screening ASDs. |
| En ligne : |
https://dx.doi.org/10.4172/2165-7890.1000230 |
| Permalink : |
https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=410 |
[article] An Autism Screening Expert System: Reliability, Validity and Factorial Structure [Texte imprimé et/ou numérique] / Maryam MAHMOUDI, Auteur ; Saeed AKBARI-ZARDKHANEH, Auteur ; Amir Ali BAGHER ZADEH, Auteur ; Bagher GHOBARI-BONAB, Auteur ; Mohsen SHOKOOHI-YEKTA, Auteur ; Hadi MORADI, Auteur ; Hamid Reza POURETEMAD, Auteur . - 7 p. Langues : Anglais ( eng) in Autism - Open Access > 8-3 [01/06/2018] . - 7 p.
| Mots-clés : |
Children with autism Expert system Screening Validity |
| Index. décimale : |
PER Périodiques |
| Résumé : |
Purpose: The main aim of the current study was to develop an expert system for screening autism spectrum disorders. The statistical properties of the system were further examined. Methods: To design an expert system, having a reliable and valid knowledge base (KL) is very important. To provide the knowledge base, items linked to autism diagnoses were collected from the literature and then reviewed by a group of psychologists and psychometrists experts. The questionnaire was completed by parents of children with autism (85), parents of normal children (65) and parents of children with Down syndrome (20). Next, some psychometric and machine learning methods were implemented to select the items having more power to discriminate children with autism from normal children and children with Down syndrome and evaluate its reliability and validity features. Results: Findings yielded good reliability (0.96) and criterion validity (0.86) for the system. The accuracy was about 0.93 and .92, using Random Forest (RF) and Support Vector Machines (SVM)), respectively. In addition, specificity and sensitivity of the system using SVM is 84.1 and 98.5%, respectively, while RF is 73.4 specificity and 99.3% sensitivity. Conclusion: This system can be considered as a reliable and valid system for screening ASDs. |
| En ligne : |
https://dx.doi.org/10.4172/2165-7890.1000230 |
| Permalink : |
https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=410 |
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