Published on in Vol 7, No 1 (2022): Jan-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/33771, first published .
The Classification of Abnormal Hand Movement to Aid in Autism Detection: Machine Learning Study

The Classification of Abnormal Hand Movement to Aid in Autism Detection: Machine Learning Study

The Classification of Abnormal Hand Movement to Aid in Autism Detection: Machine Learning Study

Journals

  1. deLeyer‐Tiarks J, Li M, Levine‐Schmitt M, Andrade B, Bray M, Peters E. Advancing autism technology. Psychology in the Schools 2023;60(2):495 View
  2. 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
  3. Putra I, Nurhayati O, Eridani D. Human Action Recognition (HAR) Classification Using MediaPipe and Long Short-Term Memory (LSTM). TEKNIK 2022;43(2):190 View
  4. Uddin M, Shahriar M, Mahamood M, Alnajjar F, Pramanik M, Ahad M. Deep learning with image-based autism spectrum disorder analysis: A systematic review. Engineering Applications of Artificial Intelligence 2024;127:107185 View
  5. Parab S, Boster J, Washington P. Parkinson Disease Recognition Using a Gamified Website: Machine Learning Development and Usability Study. JMIR Formative Research 2023;7:e49898 View
  6. 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
  7. 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
  8. Washington P. Crowdsourcing and Human-In-The-Loop Workflows in Precision Health: Perspective (Preprint). Journal of Medical Internet Research 2023 View
  9. Kargarandehkordi A, Kaisti M, Washington P. Personalization of Affective Models Using Classical Machine Learning: A Feasibility Study. Applied Sciences 2024;14(4):1337 View

Books/Policy Documents

  1. Dundi U, Kanaparthi V, Bandaru R, Umaiorubagam G. Computational Intelligence in Data Science. View
  2. Radha S, Abinaya M, Divya Darshini K, Kamalnath K, Jayanthi P. Soft Computing for Security Applications. View