Machine learning model to predict Autism investigating eye-tracking dataset

Tania Akter, Mohammad Hanif Ali, Md Imran Khan, Md Shahriare Satu, Mohammad Ali Moni

Research output: Book chapter/Published conference paperConference paperpeer-review

17 Citations (Scopus)

Abstract

Autism spectrum disorder is a neurodevelopmental disorder that characterizes by reducing concentration on social activities and improving interest in non-social tasks. The aim of this work is to investigate eye gazing images and identify autism applying various machine learning techniques. Therefore, we collected eye-tracking data from the Figshare data repository. But, these scanpath images were almost similar for normal and autistic children. To obtain similar groups, k-means clustering method was used and generated four clusters. Further, several classifiers were applied into primary data and these clusters and evaluated the performance of them using various metrics. After the assessment of overall results, MLP shows the highest 87% accuracy in cluster 1. In addition, it shows the best area under curve, f-measure, g-mean, sensitivity, specificity, fall out and miss rate respectively. This predictive model could notably useful to forecast ASD status at early stages.

Original languageEnglish
Title of host publicationICREST 2021 - 2nd International Conference on Robotics, Electrical and Signal Processing Techniques
PublisherIEEE
Pages383-387
Number of pages5
ISBN (Electronic)9781665415767, 9781665415750 (USB)
ISBN (Print)9781665415743, 9781665415774 (Print on demand)
DOIs
Publication statusPublished - 2021
Event2nd International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST 2021) - Online, Bangladesh, Bangladesh
Duration: 05 Jan 202107 Jan 2021
https://web.archive.org/web/20211019063858/https://icrest.aiub.edu/ (Conference website)
https://web.archive.org/web/20210416114026/https://icrest.aiub.edu/wp-content/uploads/2021/01/Detailed_PROGRAMME-SCHEDULE-ICREST-2021_Final.pdf (Program)

Publication series

NameInternational Conference on Robotics, Electrical and Signal Processing Techniques

Conference

Conference2nd International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST 2021)
Country/TerritoryBangladesh
CityBangladesh
Period05/01/2107/01/21
OtherThe 2nd International Conference on Robotics, Electrical and Signal Processing Techniques 2021 (ICREST 2021) will be organized by Faculty of Engineering, American International University-Bangladesh (AIUB). The aim of 2nd ICREST 2021 is to encourage and interact young researchers with the academic and industrial leaders to recognize the forthcoming penstock. Hence, ICREST 2021 is looking for the innovative research and ideas on the emerging developments in Computer, Electrical and Electronics, Quantum Computing, Machine and Deep Learning, Artificial Intelligence and Robotic Technologies. This platform may be a unique opportunity to develop future direction from Science and Engineering Professionals.
Internet address

Fingerprint

Dive into the research topics of 'Machine learning model to predict Autism investigating eye-tracking dataset'. Together they form a unique fingerprint.

Cite this