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

Formative Evaluation of Digital Health Interventions (2823) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (916) Parenting (286) Web-based and Mobile Health Interventions (3639)

Published on in Vol 8 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/47372, first published .
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

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

Authors of this article:

Akiko Hanai1, 2, 3 Author Orcid Image ;   Tetsuo Ishikawa1, 2, 3, 4 Author Orcid Image ;   Shoko Sugao5 Author Orcid Image ;   Makoto Fujii6 Author Orcid Image ;   Kei Hirai5 Author Orcid Image ;   Hiroko Watanabe6 Author Orcid Image ;   Masayo Matsuzaki7 Author Orcid Image ;   Goji Nakamoto6 Author Orcid Image ;   Toshihiro Takeda8 Author Orcid Image ;   Yasuji Kitabatake9 Author Orcid Image ;   Yuichi Itoh10 Author Orcid Image ;   Masayuki Endo11 Author Orcid Image ;   Tadashi Kimura11 Author Orcid Image ;   Eiryo Kawakami1, 2 Author Orcid Image
Article Authors Cited by (2) Tweetations (5) Metrics

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

Books/Policy Documents

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