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Published on in Vol 8 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/54577, first published .
Use of Machine Learning Models to Differentiate Neurodevelopment Conditions Through Digitally Collected Data: Cross-Sectional Questionnaire Study

Use of Machine Learning Models to Differentiate Neurodevelopment Conditions Through Digitally Collected Data: Cross-Sectional Questionnaire Study

Use of Machine Learning Models to Differentiate Neurodevelopment Conditions Through Digitally Collected Data: Cross-Sectional Questionnaire Study

Journals

  1. Nouroozi F, Kazemi H, Alinezhad A, Goudarzi N, Khosravi M, Narimani Z, Asouri Z, Ahari S, Mehrjerdi R, Saeidi R, Mavi M, Ahmadifard H, khosravi F, Alipour M, Abdollahi Z, Shemshad R, Ganjipour P, Anar M, Rostami E. Artificial Intelligence–based detection of neuropsychiatric lupus: an exploratory meta-analysis of neuroimaging and multimodal biomarker models. Clinical and Experimental Medicine 2026;26(1) View
  2. Lievore R, Grecucci A, Mammarella I. Understanding Specific Learning Disorders in youth: A machine learning approach to socio-emotional and cognitive aspects. Learning and Individual Differences 2026;128:102920 View

Conference Proceedings

  1. Parameswaran S, Arulmozhi P, Indumathi K, Rodax D, Pradeep G, Devi J. 2025 International Conference on Intelligent Computing and Control Systems (ICICCS). Prediction of Attention Deficit Hyperactivity Disorder and Autism Spectrum Disorder Patients Emotion Recognition using Machine Learning Models View