Detecting-autism-from-reading-data-using-eye-tracking-and-machine-learning
The repository contains the following data from adult readers with and without autism: 1) gaze data from reading passages, 2) answers to reading comprehension questions, 3) the texts and questions used …
Eye Disease Detection Using Machine Learning - ResearchGate
Oct 1, 2021 · The steps that are involved in multiple eye disease detection using deep learning are the acquisition of images, region of interest extraction, extraction of features and classification or ...
scikit-learn: machine learning in Python — scikit-learn 1.8.0 …
Preprocessing Feature extraction and normalization. Applications: Transforming input data such as text for use with machine learning algorithms. Algorithms: Preprocessing, feature extraction, and more...
Eye Tracking Biomarkers for Autism Spectrum Disorder Detection using ...
Oct 1, 2023 · A search was performed across electronic databases including IEEE Xplore, Science Direct, and PubMed, using the keywords "autism spectrum disorder," "eye tracking," "machine …
Early identification of autism spectrum disorder based on machine ...
Aug 1, 2024 · Conclusions Machine learning models based on eye-tracking data have the potential to be cost- and time-efficient digital tools for the early identification of ASD. Eye-tracking phenotypes …
Machine learning-based early diagnosis of autism according to eye ...
Sep 15, 2023 · Conclusion: Using eye-tracking techniques with machine learning algorithms might be promising for identifying ASD. The value of artificial faces, such as cartoon characters, in the field of …
Machine Learning Methods for Diagnosing Autism Spectrum Disorder …
Jan 20, 2021 · These machine-learning models rely on statistical algorithms, and are suitable for complex problems involving combinatorial explosion of possibilities or non-linear processes where …
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Autism Prediction using Machine Learning - GeeksforGeeks
Jul 23, 2025 · Autism is a neurological disorder that affects a person's ability to interact with others, make eye contact with others, learn and have other behavioral issue. However there is no certain …
Using explainable machine learning and eye-tracking for diagnosing ...
Jun 24, 2025 · The aim of this study is to apply explainable machine learning (XML) algorithms to eye-tracking data from social attention tasks involving children with ASD, developmental language …