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

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

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...

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Main Authors: Horng-Ruey Chua (Author), Kaiping Zheng (Author), Anantharaman Vathsala (Author), Kee-Yuan Ngiam (Author), Hui-Kim Yap (Author), Liangjian Lu (Author), Ho-Yee Tiong (Author), Amartya Mukhopadhyay (Author), Graeme MacLaren (Author), Shir-Lynn Lim (Author), K Akalya (Author), Beng-Chin Ooi (Author)
Format: Book
Published: JMIR Publications, 2021-12-01T00:00:00Z.
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