Prognosticating Autism Spectrum Disorder Using Artificial Neural Network: Levenberg-Marquardt Algorithm

12/12/2018
by   Avishek Choudhury, et al.
0

Autism spectrum condition (ASC) or autism spectrum disorder (ASD) is primarily identified with the help of behavioral indications encompassing social, sensory and motor characteristics. Although categorized, recurring motor actions are measured during diagnosis, quantifiable measures that ascertain kinematic physiognomies in the movement configurations of autistic persons are not adequately studied, hindering the advances in understanding the etiology of motor mutilation. Subject aspects such as behavioral characters that influences ASD need further exploration. Presently, limited autism datasets concomitant with screening ASD are available, and a majority of them are genetic. Hence, in this study, we used a dataset related to autism screening enveloping ten behavioral and ten personal attributes that have been effective in diagnosing ASD cases from controls in behavior science. ASD diagnosis is time exhaustive and uneconomical. The burgeoning ASD cases worldwide mandate a need for the fast and economical screening tool. Our study aimed to implement an artificial neural network with the Levenberg-Marquardt algorithm to detect ASD and examine its predictive accuracy. Consecutively, develop a clinical decision support system for early ASD identification.

READ FULL TEXT
POST COMMENT

Comments

There are no comments yet.

Authors

page 3

04/02/2021

Developing a New Autism Diagnosis Process Based on a Hybrid Deep Learning Architecture Through Analyzing Home Videos

Currently, every 1 in 54 children have been diagnosed with Autism Spectr...
08/04/2020

Artificial Neural Network and Fuzzy Logic Approach to diagnose Autism Spectrum Disorder

Autism Spectrum Disorder (ASD) is becoming a big issue in numerous count...
05/31/2021

Detecting Fetal Alcohol Spectrum Disorder in children using Artificial Neural Network

Fetal alcohol spectrum disorder (FASD) is a syndrome whose only differen...
09/30/2020

Detecting Autism Spectrum Disorder using Machine Learning

Autism Spectrum Disorder (ASD), which is a neuro development disorder, i...
04/20/2021

Development of a dynamic type 2 diabetes risk prediction tool: a UK Biobank study

Diabetes affects over 400 million people and is among the leading causes...
07/29/2019

Towards Automatic Screening of Typical and Atypical Behaviors in Children With Autism

Autism spectrum disorders (ASD) impact the cognitive, social, communicat...
03/25/2021

Autism Spectrum Disorder Screening Using Discriminative Brain Sub-Networks: An Entropic Approach

Autism is one of the most important neurological disorders which leads t...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.