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Machine Learning Prediction of Autism Spectrum Disorder


Machine Learning Prediction of Autism Spectrum Disorder

Findings This diagnostic study of 30 660 participants using ML prediction of ASD with only 28 features found high predictive accuracy, ...

Detection of autism spectrum disorder (ASD) in children and adults ...

Machine learning (ML) gives an opportunity to train ASD models in less time and more accuracy. ML techniques are crucial for quick and accurate ...

Machine Learning Prediction of Autism Spectrum Disorder From a ...

In this diagnostic study of ML prediction of ASD, robust model performance was observed to identify autistic individuals with more symptoms ...

Machine Learning Prediction of Autism Spectrum Disorder From a ...

This diagnostic study of 30 660 participants using ML prediction of ASD with only 28 features found high predictive accuracy, sensitivity, and ...

Machine Learning Methods for Diagnosing Autism Spectrum ...

We envision a future where the diagnosis of ASD, ADHD, and other mental disorders is accomplished, and quantified using imaging techniques, such as MRI, and ...

[Retracted] Prediction and Analysis of Autism Spectrum Disorder ...

The prediction of autism spectrum disorder was carried out on the basis of a traditional machine learning technique consisting SVM, NB, RF, and ...

A Machine Learning Approach to Predict Autism Spectrum Disorder

With the advancement of artificial intelligence and machine learning (ML), autism can be predicted at quite early stage. Though number of studies have been ...

Analysis and Detection of Autism Spectrum Disorder Using Machine ...

After applying various machine learning techniques and handling missing values, results strongly suggest that CNN based prediction models work better on all ...

Autism Prediction using Machine Learning - GeeksforGeeks

The machine learning model we have created is around 80% to 85% accurate. The disease for which there are no diagnostics methods machine ...

Can a machine learning model accurately predict autism spectrum ...

Prediction model testing revealed that AutMedAI could accurately identify and diagnose 78.9% (n = 9,417) of participants as having ASD or not ( ...

Machine Learning-Based Classification of Autism Spectrum ... - MDPI

Autism Spectrum Disorder (ASD) is a complex neurodevelopmental condition that has gained significant attention in recent years due to its ...

An evaluation of machine learning approaches for early diagnosis of ...

Autism spectrum disorder (ASD) is a neurodevelopmental illness that affects 1 in 68 children and 1 in 88 adults. Individuals with ASD have trouble in various ...

A machine learning approach to predict autism spectrum disorder ...

The detection of autism spectrum disorder (ASD) using machine learning algorithms has been a popular research area in recent years. Many ...

A Machine Learning Approach to Predict Autism Spectrum Disorder

Abstract and Figures. In present day Autism Spectrum Disorder (ASD) is gaining its momentum faster than ever. Detecting autism traits through ...

Autism Spectrum Disorder Prediction in Children Using Machine ...

The authors used machine learning to assess ASD clinically using the Autism Diagnostic Observation Schedule (ADOS). They identified 98.27% of ...

Predicting Autism Spectrum Disorder Using Various Machine ...

Researchers have used approaches like support vector machines (SVM) and random forest classification methods (RFC) to build predictive model in ...

Autistic Spectrum Disorder Screening: Prediction with Machine ...

Abstract: Autistic Spectrum Disorder (ASD) is a developmental disorder that can be observed in all age groups. This paper uses ASD screening dataset for ...

Predicting Autism Spectrum Disorder Using Machine Learning ...

Three machine learning model-based frameworks have been studied and elaborated on, each with a clear concept of the detection of ASD among ...

A Machine Learning Approach to Predict Autism Spectrum Disorder

The evaluation results showed that the proposed prediction model provide better results in terms of accuracy, specificity, sensitivity, precision and false ...

Detection of Autism Spectrum Disorder in Children Using Machine ...

Several studies have made use of machine learning in various ways to improve and speed up the diagnosis of ASD. Duda et al. [5] applied forward ...