Health Care Analytics With Time-Invariant and Time-Variant Feature Importance to Predict Hospital-Acquired Acute Kidney Injury: Observational Longitudinal Study

• Main Authors: Chua, Horng-Ruey, Zheng, Kaiping, Vathsala, Anantharaman, Ngiam, Kee-Yuan, Yap, Hui-Kim, Lu, Liangjian, Tiong, Ho-Yee, Mukhopadhyay, Amartya, MacLaren, Graeme, Lim, Shir-Lynn, Akalya, K, Ooi, Beng-Chin
• Other Authors: DEPARTMENT OF COMPUTER SCIENCE
• Format: Article
• Language: English
• Published: JMIR PUBLICATIONS, INC 2022
• Subjects: Science & Technology; Life Sciences & Biomedicine; Health Care Sciences & Services; Medical Informatics; acute kidney injury; artificial intelligence; biomarkers; clinical deterioration; electronic health records; hospital medicine; machine learning; CONTRAST-INDUCED NEPHROPATHY; INTERVENTION; PROGRAM; TRENDS
• Online Access: https://scholarbank.nus.edu.sg/handle/10635/217001
• Institution: National University of Singapore

10.2196/30805