This paper is in the following e-collection/theme issue:

Artificial Intelligence (1408) New Methods (957) Imaging Informatics (198) Machine Learning (1489) mHealth for Screening (219) Autism Spectrum Disorder (ASD) (110)

Published on in Vol 21, No 4 (2019): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/13822, first published .
Detecting Developmental Delay and Autism Through Machine Learning Models Using Home Videos of Bangladeshi Children: Development and Validation Study

Detecting Developmental Delay and Autism Through Machine Learning Models Using Home Videos of Bangladeshi Children: Development and Validation Study

Detecting Developmental Delay and Autism Through Machine Learning Models Using Home Videos of Bangladeshi Children: Development and Validation Study

Authors of this article:

Qandeel Tariq1, 2 Author Orcid Image ;   Scott Lanyon Fleming2 Author Orcid Image ;   Jessey Nicole Schwartz1, 2 Author Orcid Image ;   Kaitlyn Dunlap1, 2 Author Orcid Image ;   Conor Corbin2 Author Orcid Image ;   Peter Washington2 Author Orcid Image ;   Haik Kalantarian1, 2 Author Orcid Image ;   Naila Z Khan3 Author Orcid Image ;   Gary L Darmstadt1, 4 Author Orcid Image ;   Dennis Paul Wall1, 2 Author Orcid Image
Article Authors Cited by (61) Tweetations (75) Metrics

Journals

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  16. Sleiman E, Mutlu O, Surabhi S, Husic A, Kline A, Washington P, Wall D. Deep Learning-Based Autism Spectrum Disorder Detection Using Emotion Features From Video Recordings (Preprint). JMIR Biomedical Engineering 2022 View
  17. Deveau N, Washington P, Leblanc E, Husic A, Dunlap K, Penev Y, Kline A, Mutlu O, Wall D. Machine learning models using mobile game play accurately classify children with autism. Intelligence-Based Medicine 2022;6:100057 View
  18. Rabbani M, Haque M, Das Dipal D, Zarif M, Iqbal A, Schwichtenberg A, Bansal N, Soron T, Ahmed S, Ahamed S. An mCARE study on patterns of risk and resilience for children with ASD in Bangladesh. Scientific Reports 2021;11(1) View
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  21. Washington P, Chrisman B, Leblanc E, Dunlap K, Kline A, Mutlu C, Stockham N, Paskov K, Wall D. Crowd annotations can approximate clinical autism impressions from short home videos with privacy protections. Intelligence-Based Medicine 2022;6:100056 View
  22. Shih C, Pudipeddi R, Uthayakumar A, Washington P. A Local Community-Based Social Network for Mental Health and Well-being (Quokka): Exploratory Feasibility Study. JMIRx Med 2021;2(4):e24972 View
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  26. Alam S, Raja P, Gulzar Y, Lakshmanna K. Investigation of Machine Learning Methods for Early Prediction of Neurodevelopmental Disorders in Children. Wireless Communications and Mobile Computing 2022;2022:1 View
  27. Washington P, Kalantarian H, Kent J, Husic A, Kline A, Leblanc E, Hou C, Mutlu O, Dunlap K, Penev Y, Varma M, Stockham N, Chrisman B, Paskov K, Sun M, Jung J, Voss C, Haber N, Wall D. Improved Digital Therapy for Developmental Pediatrics Using Domain-Specific Artificial Intelligence: Machine Learning Study. JMIR Pediatrics and Parenting 2022;5(2):e26760 View
  28. Banerjee A, Mutlu O, Kline A, Surabhi S, Washington P, Wall D. Training and Profiling a Pediatric Facial Expression Classifier for Children on Mobile Devices: Machine Learning Study. JMIR Formative Research 2023;7:e39917 View
  29. Wolff N, Kohls G, Mack J, Vahid A, Elster E, Stroth S, Poustka L, Kuepper C, Roepke S, Kamp-Becker I, Roessner V. A data driven machine learning approach to differentiate between autism spectrum disorder and attention-deficit/hyperactivity disorder based on the best-practice diagnostic instruments for autism. Scientific Reports 2022;12(1) View
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  33. Chi N, Washington P, Kline A, Husic A, Hou C, He C, Dunlap K, Wall D. Classifying Autism From Crowdsourced Semistructured Speech Recordings: Machine Learning Model Comparison Study. JMIR Pediatrics and Parenting 2022;5(2):e35406 View
  34. Prakash V, Kohli M, Prathosh A, Juneja M, Gupta M, Sairam S, Sitaraman S, Bangalore A, Kommu J, Saini L, Utage P, Goyal N. Video‐based real‐time assessment and diagnosis of autism spectrum disorder using deep neural networks. Expert Systems 2023 View
  35. Washington P, Wall D. A Review of and Roadmap for Data Science and Machine Learning for the Neuropsychiatric Phenotype of Autism. Annual Review of Biomedical Data Science 2023;6(1):211 View
  36. Prakash V, Kohli M, Kohli S, Prathosh A, Wadhera T, Das D, Panigrahi D, Kommu J. Computer Vision-Based Assessment of Autistic Children: Analyzing Interactions, Emotions, Human Pose, and Life Skills. IEEE Access 2023;11:47907 View
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  39. Washington P. A Perspective on Crowdsourcing and Human-in-the-Loop Workflows in Precision Health. Journal of Medical Internet Research 2024;26:e51138 View
  40. Reinhart L, Bischops A, Kerth J, Hagemeister M, Heinrichs B, Eickhoff S, Dukart J, Konrad K, Mayatepek E, Meissner T. Artificial intelligence in child development monitoring: A systematic review on usage, outcomes and acceptance. Intelligence-Based Medicine 2024;9:100134 View
  41. Kohli M, Kar A, Sinha S, Kohli S. Stakeholder perception towards a machine‐learning‐based digital platform for detection and management of autism spectrum disorder. Expert Systems 2024 View
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