Published on in Vol 5, No 2 (2022): Apr-Jun
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/35406, first published
.

Journals
- 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
- 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
- Liu X, Zhao W, Qi Q, Luo X. A Survey on Autism Care, Diagnosis, and Intervention Based on Mobile Apps: Focusing on Usability and Software Design. Sensors 2023;23(14):6260 View
- Idrisoglu A, Dallora A, Anderberg P, Berglund J. Applied Machine Learning Techniques to Diagnose Voice-Affecting Conditions and Disorders: Systematic Literature Review. Journal of Medical Internet Research 2023;25:e46105 View
- 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
- Jaiswal A, Washington P. Using #ActuallyAutistic on Twitter for Precision Diagnosis of Autism Spectrum Disorder: Machine Learning Study. JMIR Formative Research 2024;8:e52660 View
- Jaiswal A, Kruiper R, Rasool A, Nandkeolyar A, Wall D, Washington P. Digitally Diagnosing Multiple Developmental Delays Using Crowdsourcing Fused With Machine Learning: Protocol for a Human-in-the-Loop Machine Learning Study. JMIR Research Protocols 2024;13:e52205 View
- Sfakianaki A, Nicolaidis K, Kafentzis G. Temporal, spectral and amplitude characteristics of the Greek fricative /s/ in hearing-impaired and normal-hearing speech. Clinical Linguistics & Phonetics 2024;38(8):720 View
- Washington P. A Perspective on Crowdsourcing and Human-in-the-Loop Workflows in Precision Health. Journal of Medical Internet Research 2024;26:e51138 View
- Toki E, Pange J, Tatsis G, Plachouras K, Tsoulos I. Utilizing Constructed Neural Networks for Autism Screening. Applied Sciences 2024;14(7):3053 View
- Rogers H, Hseu A, Kim J, Silberholz E, Jo S, Dorste A, Jenkins K. Voice as a Biomarker of Pediatric Health: A Scoping Review. Children 2024;11(6):684 View
- Lin K, Washington P. Multimodal deep learning for dementia classification using text and audio. Scientific Reports 2024;14(1) View
- Ruan L, Chen G, Yao M, Li C, Chen X, Luo H, Ruan J, Zheng Z, Zhang D, Liang S, Lü M. Brain functional gradient and structure features in adolescent and adult autism spectrum disorders. Human Brain Mapping 2024;45(11) View
- Arimoto Y, Oishi D, Okubo M. A comparison between crowdsourcing and in-person listening tests on emotion rating for spontaneous screams and shouts. Acoustical Science and Technology 2025;46(2):125 View
- Jin L, Cui H, Zhang P, Cai C. Early diagnostic value of home video–based machine learning in autism spectrum disorder: a meta-analysis. European Journal of Pediatrics 2024;184(1) View
- Dong L, Hirayama H, Zheng X, Masukawa K, Miyashita M. Using voice recognition and machine learning techniques for detecting patient‐reported outcomes from conversational voice in palliative care patients. Japan Journal of Nursing Science 2025;22(1) View
- Eni M, Zigel Y, Ilan M, Michaelovski A, Golan H, Meiri G, Menashe I, Dinstein I. Reliably quantifying the severity of social symptoms in children with autism using ASDSpeech. Translational Psychiatry 2025;15(1) View
- Bertamini G, Furlanello C, Chetouani M, Cohen D, Venuti P. Automated segmentation of child-clinician speech in naturalistic clinical contexts. Research in Developmental Disabilities 2025;157:104906 View
Books/Policy Documents
Conference Proceedings
- Kurniawan W, Gunawan P, Aquarini N. 2023 International Conference on Data Science and Its Applications (ICoDSA). Comparison of the Keras-LSTM Algorithms for Classifying Autism Spectrum Disorder Using Facial Images View
- Zhang A. 2023 IEEE 3rd International Conference on Data Science and Computer Application (ICDSCA). A Novel Eye-tracking and Audio Hybrid System for Autism Spectrum Disorder Early Detection View
- Kumar R, Bordoloi D, Shrivastava A, Kumar C, Kumari V, Kumar A. 2023 10th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON). Behavioral and Clinical Data Analysis for Autism Spectrum Disorder Screening with Machine Learning View
- Al-Nashashibi M, Alauthman M, Hadi W. 2024 2nd International Conference on Cyber Resilience (ICCR). Machine Learning for Enhanced Autism Screening: A Comparative Evaluation of Classification Algorithms View
- Ayyadurai M, Sujatha K, Deeptha R, Preethi D, Dinesh M. 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT). Exploring Data Mining Techniques for Early Autism Detection using Random Forest Algorithm View
- D T, Subbiah S, Premkumar R. 2024 International Conference on Power, Energy, Control and Transmission Systems (ICPECTS). A Multimodal Diagnostic Framework for Autism Spectrum Disorder Using Deep Learning: An In-Depth Exploration View
- Lai Y, Chen A. 2024 IEEE International Conference on Big Data (BigData). Using speech characteristics from children’s story narratives to detect autistic tendencies through deep learning methods View