Detection of Autism Spectrum Disorder in Children Using Machine Learning Techniques

被引：38

作者：

Vakadkar K. ^{[1
]}

Purkayastha D. ^{[1
]}

Krishnan D. ^{[2
]}

机构：

[1] Computer Engineering, Mukesh Patel School of Technology Management and Engineering, NMIMS University, Mumbai

[2] Computer Engineering Department, Mukesh Patel School of Technology Management and Engineering, NMIMS University, Mumbai

来源：

SN Computer Science | 2021年 / 2卷 / 5期

关键词：

Accuracy; Autism spectrum disorder; Confusion matrix; Dataset; Encoding; F1; score; KNN; Logistic regression; Machine learning; Precision; Preprocessing; Random forest; Recall; SVM;

D O I：

10.1007/s42979-021-00776-5

中图分类号：

学科分类号：

摘要：

Autism Spectrum Disorder (ASD) is a neurological disorder which might have a lifelong impact on the language learning, speech, cognitive, and social skills of an individual. Its symptoms usually show up in the developmental stages, i.e., within the first two years after birth, and it impacts around 1% of the population globally [https://www.autism-society.org/whatis/facts-and-statistics/. Accessed 25 Dec 2019]. ASD is mainly caused by genetics or by environmental factors; however, its conditions can be improved by detecting and treating it at earlier stages. In the current times, clinical standardized tests are the only methods which are being used, to diagnose ASD. This not only requires prolonged diagnostic time but also faces a steep increase in medical costs. To improve the precision and time required for diagnosis, machine learning techniques are being used to complement the conventional methods. We have applied models such as Support Vector Machines (SVM), Random Forest Classifier (RFC), Naïve Bayes (NB), Logistic Regression (LR), and KNN to our dataset and constructed predictive models based on the outcome. The main objective of our paper is to thus determine if the child is susceptible to ASD in its nascent stages, which would help streamline the diagnosis process. Based on our results, Logistic Regression gives the highest accuracy for our selected dataset. © 2021, The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd.

引用

共 21 条

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