Latest AI and machine learning research in infection control for healthcare professionals.
Prompt identification of acute coronary syndrome is a challenge in clinical practice. The 12-lead el...
Post-stroke discharge planning may be aided by accurate early prognostication. Machine learning may ...
Sepsis is a high-mortality disease that is infected by bacteria, but pathogens in individual patient...
Dyspnea is one of the most common manifestations of patients with pulmonary disease, myocardial dysf...
Missing observations are always a challenging problem that we have to deal with in diseases that req...
BACKGROUND: Although machine learning-based prediction models for in-hospital cardiac arrest (IHCA) ...
The COVID-19 pandemia due to the SARS-CoV-2 coronavirus, in its first 4 months since its outbreak, h...
Since December 2019 the novel coronavirus SARS-CoV-2 has been identified as the cause of the pandemi...
Electrocardiography (ECG) remains an irreplaceable tool in the management of the patients with myoca...
The efficiency of disease prevention and medical care service necessitated the prediction of inciden...
BACKGROUND: The use of machine learning techniques to predict diseases outcomes has grown significan...
OBJECTIVES: To explore factors influencing hospital pharmacy staff acceptance of a pharmacy robotic ...
PURPOSE: Little is known about the characteristics and impact of acute pulmonary embolism (PE) durin...
BACKGROUND: Emergency departments (ED) are a portal of entry into the hospital and are uniquely posi...
OBJECTIVES: The current study sought to evaluate whether nursing narratives can be used to predict ...
OBJECTIVES: This article aims to determine possible improvements made by feature extraction methods...
The objective of this study was to design and develop a predictive model for 30-day risk of hospital...
OBJECTIVE: Mental or substance use disorders (M/SUD) are major contributors of disease burden with h...
Improved identification of bacterial and viral infections would reduce morbidity from sepsis, reduce...
Electronic Medical Records (EMRs) are written in an unstructured way, often using natural language. ...
The diagnosis of psychogenic nonepileptic seizures (PNES) by means of electroencephalography (EEG) i...