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Original Articles

Effects of data preprocessing on detecting autism in adults using web-based eye-tracking data

ORCID Icon, ORCID Icon, ORCID Icon & ORCID Icon
Pages 2476-2484 | Received 22 Feb 2022, Accepted 15 Sep 2022, Published online: 29 Sep 2022

References

  • Akpınar, M. Elgin, and Yeliz Yesilada. 2013. “Vision Based Page Segmentation Algorithm: Extended and Perceived Success.” In ICWE, 238–252. Springer.
  • American Psychiatric Association, 2013. Diagnostic and Statistical Manual of Mental Disorders. Fifth Edition, Vol. 21, 291–643. American Psychiatric Pub.
  • Boraston, Zillah, and Sarah-Jayne Blakemore. 2007. “The Application of Eye-tracking Technology in the Study of Autism.” The Journal of Physiology 581 (3): 893–898.
  • Breiman, Leo. 2001. “Random Forests.” Machine Learning 45 (1): 5–32.
  • Carette, Romuald, Federica Cilia, Gilles Dequen, Jerome Bosche, Jean-Luc Guerin, and Luc Vandromme. 2017. “Automatic Autism Spectrum Disorder Detection Thanks to Eye-Tracking and Neural Network-Based Approach.” In International Conference on IoT Technologies for HealthCare, 75–81. Springer.
  • CDC. 2021. “Screening and Diagnosis of Autism Spectrum Disorder for Healthcare Providers.” https://www.cdc.gov/ncbddd/autism/hcp-screening.html, Last accessed: 2021.
  • Chen, Shi, and Qi Zhao. 2019. “Attention-Based Autism Spectrum Disorder Screening with Privileged Modality.” In Proceedings of the IEEE International Conference on Computer Vision, 1181–1190.
  • Cilia, Federica, Romuald Carette, Mahmoud Elbattah, Gilles Dequen, Jean-Luc Guérin, Jérôme Bosche, Luc Vandromme, and Barbara Le Driant. 2021. “Computer-aided Screening of Autism Spectrum Disorder: Eye-tracking Study Using Data Visualization and Deep Learning.” JMIR Human Factors 8 (4): e27706.
  • Di Martino, Adriana, Chao-Gan Yan, Qingyang Li, Erin Denio, Francisco X. Castellanos, Kaat Alaerts, Jeffrey S. Anderson, et al. 2014. “The Autism Brain Imaging Data Exchange: Towards a Large-scale Evaluation of the Intrinsic Brain Architecture in Autism.” Molecular Psychiatry 19 (6): 659–667.
  • Elbattah, Mahmoud, Jean-Luc Guérin, Romuald Carette, Federica Cilia, and Gilles Dequen. 2020. “Nlp-Based Approach to Detect Autism Spectrum Disorder in Saccadic Eye Movement.” In 2020 IEEE Symposium Series on Computational Intelligence (SSCI), 1581–1587. IEEE.
  • Eraslan, Sukru, Victoria Yaneva, Yeliz Yesilada, and Simon Harper. 2017. “Do Web Users with Autism Experience Barriers when Searching for Information Within Web Pages?” In W4A, 1–4.
  • Eraslan, Sukru, Victoria Yaneva, Yeliz Yesilada, and Simon Harper. 2019. “Web Users with Autism: Eye Tracking Evidence for Differences.” Behaviour & Information Technology 38 (7): 678–700.
  • Eraslan, Sukru, Yeliz Yesilada, and Victoria Yaneva, and Le An Ha. 2020a. “‘Keep it Simple!’: An Eye-Tracking Study for Exploring Complexity and Distinguishability of Web Pages for People with Autism.” In Universal Access in the Information Society, 1–16.
  • Eraslan, Sukru, Yeliz Yesilada, Victoria Yaneva, and Simon Harper. 2020b. “Autism Detection based on Eye Movement Sequences on the Web: A Scanpath Trend Analysis Approach.” In W4A, 1–10.
  • Eslami, Taban, and Fahad Saeed. 2019. “Auto-ASD-Network: A Technique based on Deep Learning and Support Vector Machines for Diagnosing Autism Spectrum Disorder using FMRI Data.” In BCB.
  • Fletcher-Watson, Sue, Susan R. Leekam, Valerie Benson, M. C. Frank, and J. M. Findlay. 2009. “Eye-movements Reveal Attention to Social Information in Autism Spectrum Disorder.” Neuropsychologia 47 (1): 248–257.
  • Greff, Klaus, Rupesh K. Srivastava, Jan Koutník, Bas R. Steunebrink, and Jürgen Schmidhuber. 2016. “Lstm: A Search Space Odyssey.” IEEE Transactions on Neural Networks and Learning Systems28 (10): 2222–2232.
  • Heaton, Timothy J., and Megan Freeth. 2016. “Reduced Visual Exploration when Viewing Photographic Scenes in Individuals with Autism Spectrum Disorder.” Journal of Abnormal Psychology 125 (3): 399–411.
  • Jiang, Ming, Sunday M. Francis, Diksha Srishyla, Christine Conelea, Qi Zhao, and Suma Jacob. 2019. “Classifying Individuals with ASD through Facial Emotion Recognition and Eye-Tracking.” In EMBC, 6063–6068. IEEE.
  • Jiang, Ming, and Qi Zhao. 2017. “Learning Visual Attention to Identify People with Autism Spectrum Disorder.” In Proceedings of the IEEE International Conference on Computer Vision, 3267–3276.
  • Kang, Jiannan, Xiaoya Han, Jiajia Song, Zikang Niu, and Xiaoli Li. 2020. “The Identification of Children with Autism Spectrum Disorder by SVM Approach on EEG and Eye-Tracking Data.” Computers in Biology and Medicine 120: 103722. doi:10.1016/j.compbiomed.2020.103722
  • Kanhirakadavath, Mujeeb Rahman, and Monica Subashini Mohan Chandran. 2022. “Investigation of Eye-tracking Scan Path As a Biomarker for Autism Screening Using Machine Learning Algorithms.” Diagnostics 12 (2): 518.
  • Karim, Sara, Nazina Akter, Muhammed J. A. Patwary, and Md Rashedul Islam. 2021. “A Review on Predicting Autism Spectrum Disorder (ASD) Meltdown using Machine Learning Algorithms.” In 2021 5th International Conference on Electrical Engineering and Information & Communication Technology (ICEEICT), 1–6. IEEE.
  • Khalaji, Erfan. 2021. “A Machine Learning Approach for Detecting High-Functioning Autism using Web-Based Eye-Tracking Data.” Master's thesis, Middle East Technical University.
  • Kleinbaum, David G., K. Dietz, M. Gail, Mitchel Klein, and Mitchell Klein. 2002. Logistic Regression. Springer.
  • Klin, Ami, Warren Jones, Robert Schultz, Fred Volkmar, and Donald Cohen. 2002. “Visual Fixation Patterns During Viewing of Naturalistic Social Situations As Predictors of Social Competence in Individuals with Autism.” Archives of General Psychiatry 59 (9): 809–816.
  • Landa, Rebecca J. 2008. “Diagnosis of Autism Spectrum Disorders in the First 3 Years of Life.” Nature Clinical Practice Neurology 4 (3): 138–147.
  • Li, Jing, Yihao Zhong, Junxia Han, Gaoxiang Ouyang, Xiaoli Li, and Honghai Liu. 2020. “Classifying Asd Children with Lstm Based on Raw Videos.” Neurocomputing 390: 226–238.
  • Liu, Wenbo, Ming Li, and Li Yi. 2016. “Identifying Children with Autism Spectrum Disorder Based on Their Face Processing Abnormality: A Machine Learning Framework.” Autism Research 9 (8): 888–898.
  • Luciano, C. C., R. Keller, P. Politi, E. Aguglia, F. Magnano, L. Burti, F. Muraro, et al. 2014. “Misdiagnosis of High Function Autism Spectrum Disorders in Adults: An Italian Case Series.” Autism Open Access 4 (131): 2.
  • Michailidou, Eleni. 2006. “Vicram: Visual Complexity Rankings and Accessibility Metrics.” Accessibility and Computing 86: 24–27.
  • Mullin, A. P., A. Gokhale, A. Moreno-De-Luca, S. Sanyal, J. L. Waddington, and V. Faundez. 2013. “Neurodevelopmental Disorders: Mechanisms and Boundary Definitions From Genomes, Interactomes and Proteomes.” Translational Psychiatry 3 (12): e329–e329.
  • Nicholas, Joyce S., Jane M. Charles, Laura A. Carpenter, Lydia B. King, Walter Jenner, and Eve G. Spratt. 2008. “Prevalence and Characteristics of Children with Autism-spectrum Disorders.” Annals of Epidemiology 18 (2): 130–136.
  • Niedermeyer, Ernst, and F. H. Lopes da Silva. 2005. Electroencephalography: Basic Principles, Clinical Applications, and Related Fields. Lippincott Williams Wilkins.
  • Pedregosa, F., G. Varoquaux, A. Gramfort, V. Michel, B. Thirion, O. Grisel, M. Blondel, et al. 2011. “Scikit-learn: Machine Learning in Python.” Journal of Machine Learning Research 12: 2825–2830.
  • Riby, Deborah M., and Peter J. B. Hancock. 2009. “Do Faces Capture the Attention of Individuals with Williams Syndrome Or Autism? Evidence From Tracking Eye Movements.” Journal of Autism and Developmental Disorders 39 (3): 421–431.
  • Startsev, Mikhail, and Michael Dorr. 2019. “Classifying Autism Spectrum Disorder based on Scanpaths and Saliency.” In IEEE ICMEW, 633–636. IEEE.
  • Tao, Yudong, and Mei-Ling Shyu. 2019. “SP-ASDNET: CNN-LSTM based ASD Classification Model using Observer Scanpaths.” In ICMEW.
  • Wan, Guobin, Xuejun Kong, Binbin Sun, Siyi Yu, Yiheng Tu, Joel Park, Courtney Lang, et al. 2019. “Applying Eye Tracking to Identify Autism Spectrum Disorder in Children.” Journal of Autism and Developmental Disorders 49 (1): 209–215.
  • Wijngaarden-Cremers, Patricia Van. 2019. “Autism in Boys and Girls, Women and Men throughout the Lifespan.” In The Palgrave Handbook of Male Psychology and Mental Health, 309–330. Springer.
  • Yaneva, Victoria, Le An Ha, Sukru Eraslan, and Yeliz Yesilada. 2019. “Adults with High-Functioning Autism Process Web Pages with Similar Accuracy but Higher Cognitive Effort Compared to Controls.” In W4A, 1–4.
  • Yaneva, Victoria, Le An Ha, Sukru Eraslan, Yeliz Yesilada, and Ruslan Mitkov. 2018. “Detecting Autism based on Eye-Tracking Data from Web Searching Tasks.” In W4A, 1–10.
  • Yaneva, Victoria, Le An Ha, Sukru Eraslan, Yeliz Yesilada, and Ruslan Mitkov. 2020. “Detecting High-functioning Autism in Adults Using Eye Tracking and Machine Learning.” IEEE Transactions on Neural Systems and Rehabilitation Engineering 28 (6): 1254–1261.

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