Stratified mortality prediction of patients with acute kidney injury in critical care
Abstract Acute Kidney Injury (AKI) is the most common cause of organ dysfunction in
critically ill adults and prior studies have shown AKI is associated with a significant increase …
critically ill adults and prior studies have shown AKI is associated with a significant increase …
[HTML][HTML] Artificial intelligence and machine learning's role in sepsis-associated acute kidney injury
W Cheungpasitporn, C Thongprayoon… - Kidney Research and …, 2024 - ncbi.nlm.nih.gov
Sepsis-associated acute kidney injury (SA-AKI) is a serious complication in critically ill
patients, resulting in higher mortality, morbidity, and cost. The intricate pathophysiology of …
patients, resulting in higher mortality, morbidity, and cost. The intricate pathophysiology of …
[图书][B] Annual update in intensive care and emergency medicine 2012
JL Vincent - 2012 - books.google.com
The Yearbook compiles the most recent developments in experimental and clinical research
and practice in one comprehensive reference book. The chapters are written by well …
and practice in one comprehensive reference book. The chapters are written by well …
[HTML][HTML] Implementation of a digitally enabled care pathway (Part 2): qualitative analysis of experiences of health care professionals
Background One reason for the introduction of digital technologies into health care has been
to try to improve safety and patient outcomes by providing real-time access to patient data …
to try to improve safety and patient outcomes by providing real-time access to patient data …
A novel multivariable time series prediction model for acute kidney injury in general hospitalization
Objective Early recognition and prevention are important to reduce the risk of acute kidney
injury (AKI). We aimed to build a novel multivariate time series prediction model for dynamic …
injury (AKI). We aimed to build a novel multivariate time series prediction model for dynamic …
[HTML][HTML] Predictive modeling of the risk of acute kidney injury in critical care: a systematic investigation of the class imbalance problem
Abstract Acute Kidney Injury (AKI) in critical care is often a quickly-evolving clinical event
with high morbidity and mortality. Early prediction of AKI risk in critical care setting can …
with high morbidity and mortality. Early prediction of AKI risk in critical care setting can …
[HTML][HTML] A scalable approach for developing clinical risk prediction applications in different hospitals
Objective Machine learning (ML) algorithms are now widely used in predicting acute events
for clinical applications. While most of such prediction applications are developed to predict …
for clinical applications. While most of such prediction applications are developed to predict …
[Retracted] Establishment and Evaluation of Artificial Intelligence‐Based Prediction Models for Chronic Kidney Disease under the Background of Big Data
X Yan, X Li, Y Lu, D Ma, S Mou, Z Cheng… - Evidence‐Based …, 2022 - Wiley Online Library
Objective. To establish a prediction model for the risk evaluation of chronic kidney disease
(CKD) to guide the management and prevention of CKD. Methods. A total of 1263 patients …
(CKD) to guide the management and prevention of CKD. Methods. A total of 1263 patients …
[HTML][HTML] 基于XGBoost 和SHAP 的急性肾损伤可解释预测模型
罗妍， 王枞， 叶文玲 - 电子与信息学报, 2022 - jeit.ac.cn
重症监护病房(ICU) 住院期间发生的急性肾损伤(AKI) 与患者发病率和死亡率的增加有关.
该研究的目的是提出一个基于机器学习的框架, 用于危重病患者的可解释AKI 预测 …
该研究的目的是提出一个基于机器学习的框架, 用于危重病患者的可解释AKI 预测 …
[HTML][HTML] Models predicting hospital admission of adult patients utilizing prehospital data: systematic review using PROBAST and CHARMS
AC Monahan, SS Feldman - JMIR Medical Informatics, 2021 - medinform.jmir.org
Background Emergency department boarding and hospital exit block are primary causes of
emergency department crowding and have been conclusively associated with poor patient …
emergency department crowding and have been conclusively associated with poor patient …