[HTML][HTML] Neural network predicts need for red blood cell transfusion for patients with acute gastrointestinal bleeding admitted to the intensive care unit
Acute gastrointestinal bleeding is the most common gastrointestinal cause for
hospitalization. For high-risk patients requiring intensive care unit stay, predicting …
hospitalization. For high-risk patients requiring intensive care unit stay, predicting …
Artificial intelligence to guide management of acute kidney injury in the ICU: a narrative review
G De Vlieger, K Kashani… - Current Opinion in Critical …, 2020 - journals.lww.com
In this article, we provide an overview of the machine-learning prediction models for AKI and
its outcomes in critically ill patients and individuals undergoing major surgery. We also …
its outcomes in critically ill patients and individuals undergoing major surgery. We also …
An interpretable prediction model for acute kidney injury based on XGBoost and SHAP
Y LUO, C WANG, W YE - 电子与信息学报, 2022 - jeit.ac.cn
Abstract The development of Acute Kidney Injury (AKI) during admission to the Intensive
Care Unit (ICU) is associated with increased morbidity and mortality. The objective of this …
Care Unit (ICU) is associated with increased morbidity and mortality. The objective of this …
[HTML][HTML] Predictive modeling for acute kidney injury after percutaneous coronary intervention in patients with acute coronary syndrome: a machine learning approach
Background Acute kidney injury (AKI) is one of the preventable complications of
percutaneous coronary intervention (PCI). This study aimed to develop machine learning …
percutaneous coronary intervention (PCI). This study aimed to develop machine learning …
[HTML][HTML] Severe acute kidney disease is associated with worse kidney outcome among acute kidney injury patients
YW Chen, MY Wu, CH Mao, YT Yeh, TT Chen… - Scientific Reports, 2022 - nature.com
Acute kidney disease (AKD) comprises acute kidney injury (AKI). However, whether the AKD
staging system has prognostic values among AKI patients with different baseline estimated …
staging system has prognostic values among AKI patients with different baseline estimated …
[HTML][HTML] A comparative study of machine learning algorithms for predicting acute kidney injury after liver cancer resection
L Lei, Y Wang, Q Xue, J Tong, CM Zhou, JJ Yang - PeerJ, 2020 - peerj.com
Objective Machine learning methods may have better or comparable predictive ability than
traditional analysis. We explore machine learning methods to predict the likelihood of acute …
traditional analysis. We explore machine learning methods to predict the likelihood of acute …
Predicting pediatric cardiac surgery-associated acute kidney injury using machine learning
M Nagy, AM Onder, D Rosen, C Mullett, A Morca… - Pediatric …, 2024 - Springer
Background Prediction of cardiac surgery-associated acute kidney injury (CS-AKI) in
pediatric patients is crucial to improve outcomes and guide clinical decision-making. This …
pediatric patients is crucial to improve outcomes and guide clinical decision-making. This …
[HTML][HTML] Identification of DYNLT1 associated with proliferation, relapse, and metastasis in breast cancer
S Miao, G Ju, C Jiang, B Xue, L Zhao, R Zhang… - Frontiers in …, 2023 - frontiersin.org
Background Breast cancer (BC) is the most common malignant disease worldwide. Although
the survival rate is improved in recent years, the prognosis is still bleak once recurrence and …
the survival rate is improved in recent years, the prognosis is still bleak once recurrence and …
[HTML][HTML] Machine learning to predict acute kidney injury
FP Wilson - American journal of kidney diseases: the official journal …, 2020 - ncbi.nlm.nih.gov
The widescale adoption of electronic health record (EHR) technology has led to an
unprecedented accumulation of medical data, such that petabytes of patient information are …
unprecedented accumulation of medical data, such that petabytes of patient information are …
A self-correcting deep learning approach to predict acute conditions in critical care
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 …
and lab measurements to detect and diagnose acute patient conditions. This has always …