自闭症诊断/筛查专家系统及移动应用综述

Amina Sani Adamu, S. Abdullahi
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引用次数: 0

摘要

自闭症是一种从童年开始影响个体的神经发育障碍,其主要特征是行为异常、社会交往不足、缺乏适当的沟通和重复行为。在此之前,自闭症在精神障碍诊断统计手册4 (DSM 4)中被分为3个类别(不孕症自闭症,阿斯伯格障碍和广泛性发育障碍,没有特别说明),但在2013年DSM 4升级为DSM 5,所有类别都归为一个类别,即自闭症谱系障碍(ASD)。本文对一些自闭症诊断专家系统和移动应用进行了文献综述。从我们的研究中,我们发现大多数系统/工具都采用了DSM 5标准,大多数工具要么使用现有的评估工具,要么使用增强现实进行诊断。而且大多数专家系统主要是为儿童设计的,很少被认为是成人。没有任何工具或专家系统可以根据DSM 5诊断给出自闭症的水平,因此需要开发工具来进行此类诊断。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Review of Autism Diagnosis/Screening Expert System and Mobile Application
Autism is a neuro developmental disorder affecting individuals from Childhood mostly characterized by abnormal behavior, inadequate social interaction, lack of proper communication and repetitive behaviors. Before now, Autism was classified into 3 classes (Infertile Autism, Asperger's disorder and Pervasive Developmental Disorder not otherwise specified) as in the Diagnostic of Statistical Manual of Mental Disorders 4 (DSM 4) but in the year 2013 DSM 4 was upgraded to DSM 5 making all classes be in one class namely Autism Spectrum Disorder (ASD). In this paper, we did a literature review of some Autism Diagnosis Expert Systems and Mobile applications. From our research, we found out that most system/tools have adopted the DSM 5 criteria, most tools have either used the existing assessment tools or used Augmented reality for diagnosis. And also most of the expert system is mostly designed to diagnose children very few considered adult. None of the tools or expert system can give the level of Autism based on the DSM 5 diagnosis therefore there is need for tools to be developed for making such diagnosis.
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