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

Akiko Hanai   ^{1, 2, 3} , OTR, PhD ;   Tetsuo Ishikawa   ^{1, 2, 3, 4} , PhD ;   Shoko Sugao   ⁵ , PsyD, PhD ;   Makoto Fujii   ⁶ , RN, PHN, PhD ;   Kei Hirai   ⁵ , PhD ;   Hiroko Watanabe   ⁶ , RM, RN, PhD ;   Masayo Matsuzaki   ⁷ , RM, RN, PHN, PhD ;   Goji Nakamoto   ⁶ , PhD ;   Toshihiro Takeda   ⁸ , MD, PhD ;   Yasuji Kitabatake   ⁹ , MD, PhD ;   Yuichi Itoh   ¹⁰ , PhD ;   Masayuki Endo   ^{11 *} , MD, PhD ;   Tadashi Kimura   ¹¹ , MD, PhD ;   Eiryo Kawakami   ^{1, 2 *} , MD, PhD

¹ Medical Data Mathematical Reasoning Team, Advanced Data Science Project, RIKEN Information R&D and Strategy Headquarters, RIKEN, Yokohama, Japan

² Artificial Intelligence Medicine, Graduate School of Medicine, Chiba University, Chiba, Japan

³ Institute for Datability Science, Osaka University, Suita, Japan

⁴ Department of Extended Intelligence for Medicine, The Ishii-Ishibashi Laboratory, Keio University School of Medicine, Tokyo, Japan

⁵ Graduate School of Human Sciences, Osaka University, Suita, Japan

⁶ Division of Health Sciences, Graduate School of Medicine, Osaka University, Suita, Japan

⁷ Department of Reproductive Health Nursing, Graduate School of Health Care Sciences, Tokyo Medical and Dental University, Tokyo, Japan

⁸ Department of Medical Informatics, Graduate School of Medicine, Osaka University, Suita, Japan

⁹ Department of Pediatrics, Graduate School of Medicine, Osaka University, Suita, Japan

¹⁰ Department of Integrated Information Technology, College of Science and Engineering, Aoyama Gakuin University, Sagamihara, Japan

¹¹ Department of Obstetrics and Gynecology, Osaka University Graduate School of Medicine, Suita, Japan

*these authors contributed equally