Latest AI and machine learning research in critical care for healthcare professionals.
BACKGROUND: The use of machine learning(ML) methods would improve the diagnosis of small airway dysf...
Multi-view learning is an emerging field of multi-modal fusion, which involves representing a single...
INTRODUCTION: Treatment in the intensive care unit (ICU) generates complex data where machine learni...
INTRODUCTION: Peritonitis is a serious complication of peritoneal dialysis (PD), in which insufficie...
BACKGROUND: A prediction model that estimates mortality at admission to the intensive care unit (ICU...
Sleep staging is a crucial tool for diagnosing and monitoring sleep disorders, but the standard clin...
We developed an interpretable machine learning algorithm that prospectively predicts the risk of thr...
Stress is a psychological condition resulting from the body's response to challenging situations, wh...
This research study demonstrates an efficient scheme for early detection of cardiorespiratory compli...
BACKGROUND: Despite the significance and prevalence of acute respiratory distress syndrome (ARDS), i...
Polypharmacy involves an individual using many medications at the same time and is a frequent health...
The geographical origin of Panax ginseng significantly influences its nutritional value and chemical...
BACKGROUND: Impaired microcirculation is a cornerstone of sepsis development and leads to reduced ti...
Community detection in multi-layer networks stands as a prominent subject within network analysis re...
Symptoms of Acute Respiratory infections (ARIs) among under-five children are a global health challe...
As a significant infectious disease in livestock, porcine reproductive and respiratory syndrome (PRR...
The need for intubation in methanol-poisoned patients, if not predicted in time, can lead to irrepar...
During the COVID-19 pandemic, pneumonia was the leading cause of respiratory failure and death. In a...
BACKGROUND: The integration of artificial intelligence (AI) and machine learning (ML) in peritoneal ...
BACKGROUND: Multidrug-resistant organisms (MDRO) pose a significant threat to public health. Intensi...
Federated learning (FL) has emerged as a significant method for developing machine learning models a...