@inproceedings{ef47bb2ee1124e48886ea6b4aa606901,
title = "Development and evaluation of an expert system for the diagnosis of child autism",
abstract = "This paper presents the development of an expert system for the diagnosis of child autism and discusses potential benefits of its implementation in a clinical environment. The development of the expert system was based on a diagnostic algorithm supported by a developmental scale (PEDS) and a diagnostic tool of autism (CARS). Twelve nurses who work in pediatric hospital were asked to use the expert system for a session of 30 minutes and were asked to assess its usefulness, usability and diagnostic value. The majority of nurses agree that it is a useful and promising diagnostic tool for the clinical practice and for the identification of potential child autism cases.",
keywords = "Artificial intelligence, Autism, Diagnosis, Expert systems",
author = "Pashalina Lialiou and Dimitrios Zikos and John Mantas",
year = "2012",
doi = "10.3233/978-1-61499-101-4-1185",
language = "English",
isbn = "9781614991007",
series = "Studies in Health Technology and Informatics",
publisher = "IOS Press",
pages = "1185--1187",
booktitle = "Quality of Life Through Quality of Information - Proceedings of MIE 2012",
note = "24th Medical Informatics in Europe Conference, MIE 2012 ; Conference date: 26-08-2012 Through 29-08-2012",
}