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Background: Acute kidney injury (AKI) is a common complication in hospitalized patients and a common cause for chronic kidney disease (CKD) and increased hospital cost and mortality. By timely detection of AKI and AKI progression, effective…

Acute kidney injury (AKI) in critically ill patients is associated with significant morbidity and mortality. Development of novel methods to identify patients with AKI earlier will allow for testing of novel strategies to prevent or reduce…

Machine Learning · Computer Science 2018-11-12 Yikuan Li , Liang Yao , Chengsheng Mao , Anand Srivastava , Xiaoqian Jiang , Yuan Luo

Acute kidney injury (AKI) is a common and serious complication after a surgery which is associated with morbidity and mortality. The majority of existing perioperative AKI risk score prediction models are limited in their generalizability…

Computers and Society · Computer Science 2019-06-19 Lasith Adhikari , Tezcan Ozrazgat-Baslanti , Paul Thottakkara , Ashkan Ebadi , Amir Motaei , Parisa Rashidi , Xiaolin Li , Azra Bihorac

Acute Kidney Injury (AKI), a sudden decline in kidney function, is associated with increased mortality, morbidity, length of stay, and hospital cost. Since AKI is sometimes preventable, there is great interest in prediction. Most existing…

Machine Learning · Computer Science 2019-03-06 Samuel J. Weisenthal , Caroline Quill , Samir Farooq , Henry Kautz , Martin S. Zand

Background: Cirrhosis is a progressive liver disease with high mortality and frequent complications, notably acute kidney injury (AKI), which occurs in up to 50% of hospitalized patients and worsens outcomes. AKI stems from complex…

Machine Learning · Computer Science 2025-08-15 Li Sun , Shuheng Chen , Junyi Fan , Yong Si , Minoo Ahmadi , Elham Pishgar , Kamiar Alaei , Maryam Pishgar

Background: Acute kidney injury (AKI) is a clinical syndrome affecting almost one fifth of hospitalized patients, as well as more than half of the patients who are admitted to the intensive care unit (ICU). Stratifying AKI patients into…

The incidence of Acute Kidney Injury (AKI) commonly happens in the Intensive Care Unit (ICU) patients, especially in the adults, which is an independent risk factor affecting short-term and long-term mortality. Though researchers in recent…

Machine Learning · Computer Science 2020-05-28 Yu Wang , JunPeng Bao , JianQiang Du , YongFeng Li

Sepsis is a severe condition that causes the body to respond incorrectly to an infection. This reaction can subsequently cause organ failure, a major one being acute kidney injury (AKI). For septic patients, approximately 50% develop AKI,…

Machine Learning · Computer Science 2024-12-06 Aleyeh Roknaldin , Zehao Zhang , Jiayuan Xu , Kamiar Alaei , Maryam Pishgar

Acute kidney injury (AKI) is a serious clinical condition that affects up to 20% of hospitalised patients. AKI is associated with short term unplanned hospital readmission and post-discharge mortality risk. Patient risk and healthcare…

Machine Learning · Computer Science 2024-10-24 Flavio S. Correa da Silva , Simon Sawhney

The relationship between acute kidney injury (AKI) prediction and nephrotoxic drugs, or drugs that adversely affect kidney function, is one that has yet to be explored in the critical care setting. One contributing factor to this gap in…

Machine Learning · Computer Science 2024-01-10 Gabriel D. M. Manalu , Mulomba Mukendi Christian , Songhee You , Hyebong Choi

Acute Kidney Injury (AKI) is a common clinical syndrome characterized by the rapid loss of kidney excretory function, which aggravates the clinical severity of other diseases in a large number of hospitalized patients. Accurate early…

Acute kidney injury (AKI) is a common clinical syndrome characterized by a sudden episode of kidney failure or kidney damage within a few hours or a few days. Accurate early prediction of AKI for patients in ICU who are more likely than…

Computation and Language · Computer Science 2022-05-10 Chengsheng Mao , Liang Yao , Yuan Luo

Objectives: We aim to quantify longitudinal acute kidney injury (AKI) trajectories and to describe transitions through progressing and recovery states and outcomes among hospitalized patients using multistate models. Methods: In this large,…

Quantitative Methods · Quantitative Biology 2023-03-13 Esra Adiyeke , Yuanfang Ren , Ziyuan Guan , Matthew M. Ruppert , Parisa Rashidi , Azra Bihorac , Tezcan Ozrazgat-Baslanti

In critical care, intensivists are required to continuously monitor high dimensional vital signs and lab measurements to detect and diagnose acute patient conditions. This has always been a challenging task. In this study, we propose a…

Machine Learning · Computer Science 2019-01-15 Ziyuan Pan , Hao Du , Kee Yuan Ngiam , Fei Wang , Ping Shum , Mengling Feng

Background: Acute kidney injury (AKI), the decline of kidney excretory function, occurs in up to 18% of hospitalized admissions. Progression of AKI may lead to irreversible kidney damage. Methods: This retrospective cohort study includes…

Background: The kidney exchange problem (KEP) addresses the matching of patients in need for a replacement organ with compatible living donors. Ideally many medical institutions should participate in a matching program to increase the…

Cryptography and Security · Computer Science 2022-04-22 Timm Birka , Kay Hamacher , Tobias Kussel , Helen Möllering , Thomas Schneider

Patients with acute kidney injury (AKI) are at high risk of developing chronic kidney disease (CKD), but identifying those at greatest risk remains challenging. We used electronic health record (EHR) data to dynamically track AKI patients'…

Computation and Language · Computer Science 2026-04-13 Yilu Fang , Jordan G. Nestor , Casey N. Ta , Jerard Z. Kneifati-Hayek , Chunhua Weng

The optimal moment to start renal replacement therapy in a patient with acute kidney injury (AKI) remains a challenging problem in intensive care nephrology. Multiple randomised controlled trials have tried to answer this question, but…

Applications · Statistics 2022-06-10 Pawel Morzywolek , Johan Steen , Wim Van Biesen , Johan Decruyenaere , Stijn Vansteelandt

Acute kidney injury (AKI) commonly occurs in hospitalized patients and can lead to serious medical complications. In order to optimally predict AKI before it develops at any time during a hospital stay, we present a novel framework in which…

Quantitative Methods · Quantitative Biology 2019-02-28 Rohit J. Kate , Noah Pearce , Debesh Mazumdar , Vani Nilakantan

Hyperkalemia is a potentially life-threatening condition that can lead to fatal arrhythmias. Early identification of high risk patients can inform clinical care to mitigate the risk. While hyperkalemia is often a complication of acute…

Machine Learning · Computer Science 2021-01-28 Gloria Hyunjung Kwak , Christina Chen , Lowell Ling , Erina Ghosh , Leo Anthony Celi , Pan Hui
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