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

• Päätekijät: Horng-Ruey Chua (Tekijä), Kaiping Zheng (Tekijä), Anantharaman Vathsala (Tekijä), Kee-Yuan Ngiam (Tekijä), Hui-Kim Yap (Tekijä), Liangjian Lu (Tekijä), Ho-Yee Tiong (Tekijä), Amartya Mukhopadhyay (Tekijä), Graeme MacLaren (Tekijä), Shir-Lynn Lim (Tekijä), K Akalya (Tekijä), Beng-Chin Ooi (Tekijä)
• Aineistotyyppi: Kirja
• Julkaistu: JMIR Publications, 2021-12-01T00:00:00Z.
• Aiheet: article
• Linkit: Connect to this object online.

BackgroundAcute kidney injury (AKI) develops in 4% of hospitalized patients and is a marker of clinical deterioration and nephrotoxicity. AKI onset is highly variable in hospitals, which makes it difficult to time biomarker assessment in all patients for preemptive care. ObjectiveThe study sought to...