Time Series AI Model for Acute Kidney Injury Detection Based on a Multicenter Distributed Research Network: Development and Verification Study.
Suncheol HeoEun-Ae KangJae Yong YuHae-Reong KimSuehyun LeeKwang-Soo KimYul HwangboRae Woong ParkHyunah ShinKyeongmin RyuChungsoo KimHyojung JungYebin ChegalJae Hyun LeeYu-Rang ParkPublished in: JMIR medical informatics (2024)
Early surveillance of AKI outbreaks can be achieved by applying an IMV-LSTM based on time series data through an EHR-based DRN. This approach can help identify risk factors and enable early detection of adverse drug reactions when prescribing drugs that cause renal toxicity before AKI occurs.