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Published on in Vol 8 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/47372, first published .
Mother lovingly nuzzles her newborn baby wrapped in a pink blanket.

Explainable Machine Learning Classification to Identify Vulnerable Groups Among Parenting Mothers: Web-Based Cross-Sectional Questionnaire Study

Explainable Machine Learning Classification to Identify Vulnerable Groups Among Parenting Mothers: Web-Based Cross-Sectional Questionnaire Study

Journals

  1. Giaxi P, Vivilaki V, Sarella A, Harizopoulou V, Gourounti K. Artificial Intelligence and Machine Learning: An Updated Systematic Review of Their Role in Obstetrics and Midwifery. Cureus 2025 View
  2. Huang A, Huang S. Revolutionizing Sleep Medicine: The Impact of Machine Learning on Diagnosis, Treatment, and Personalized Care. Health Science Reports 2026;9(6) View
  3. Ikeda A, Nagayasu M, Hoshiko Y, Nakamoto G, Fujii M, Sugao S, Hanai A, Matsuzaki M, Watanabe H, Endo M. Early postpartum psychosocial profiles predict parenting maladjustment at 1 year. Scientific Reports 2026;16(1) View
  4. Godswill-Oguzie N, Iqbal M. Predictive Modelling of Postnatal Depression and Infant Bonding Outcomes from Self-Reported Maternal Health Data. Sci 2026;8(7):172 View
  5. Almulla A, Khasawneh M. Exploring the Prevalence and Key Predictors of Probable Depression Among Parents and Primary Caregivers of Children and Adolescents With Specific Learning Disorders in the Kingdom of Saudi Arabia: A Cross‐Sectional Explainable Machine‐Learning Study. Clinical Psychology & Psychotherapy 2026;33(4) View

Books/Policy Documents

  1. Mohanty R. Human-Centric AI in Digital Transformation and Entrepreneurship. View

Conference Proceedings

  1. Zhao Y, Liu R. 2025 4th International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE). Parental Parenting Competence Assessment using Multilayer Backpropagation Neural Network Model View