Supervised machine learning-based prediction for in-hospital pressure injury development using electronic health records: A retrospective observational cohort study in a university hospital in Japan.

Abstract

Authors

• Gojiro Nakagami
  Global Nursing Research Center, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
• Shinichiroh Yokota
  Author Affiliations: Departments of Healthcare Information Management (Mr Yokota) and Nursing (Ms Endo), The University of Tokyo Hospital; and Department of Biomedical Informatics, Graduate School of Medicine (Dr Ohe), The University of Tokyo, Japan.
• Aya Kitamura
  Department of Gerontological Nursing/Wound Care Management, The Division of Health Sciences and Nursing, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan. Electronic address: ayakitamura@g.ecc.u-tokyo.ac.jp.
• Toshiaki Takahashi
  Division of Thoracic Oncology, Shizuoka Cancer Center, Shizuoka, Japan.
• Kojiro Morita
  Department of Health Services Research, Faculty of Medicine, University of Tsukuba, 1-1-1 Tenno-dai, Tsukuba, Ibaraki 305-8575, Japan; Department of Clinical Epidemiology and Health Economics, School of Public Health, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 1130033, Japan.
• Hiroshi Noguchi
  Department of Life Support Technology (Molten), Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan. Electronic address: hnogu-tky@umin.ac.jp.
• Kazuhiko Ohe
  Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
• Hiromi Sanada
  Global Nursing Research Center, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.

Keywords

External Resources