Acute gastrointestinal bleeding is the most common gastrointestinal cause for
hospitalization. For high-risk patients requiring intensive care unit stay, predicting …

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 …

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 …

Background Acute kidney injury (AKI) is one of the preventable complications of
percutaneous coronary intervention (PCI). This study aimed to develop machine learning …

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 …

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 …

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 …

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 widescale adoption of electronic health record (EHR) technology has led to an
unprecedented accumulation of medical data, such that petabytes of patient information are …

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 …