Enhancing Diagnosis of Autism With Optimized Machine Learning Models and Personal Characteristic Data

Enhancing Diagnosis of Autism With Optimized Machine Learning Models and Personal Characteristic Data

Autism spectrum disorder (ASD) is a developmental disorder, affecting about 1% of the global population. Currently, the only clinical method for diagnosing ASD are standardized ASD tests which require prolonged diagnostic time and increased medical costs. Our objective was to explore the predictive...

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Bibliographic Details
Main Authors: Milan N. Parikh, Hailong Li, Lili He
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-02-01
Series:Frontiers in Computational Neuroscience
Subjects:
autism spectrum disorder
machine learning
diagnosis
biostatistics
support vector machine
Online Access:https://www.frontiersin.org/article/10.3389/fncom.2019.00009/full

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https://www.frontiersin.org/article/10.3389/fncom.2019.00009/full

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