Hospital-Based Medicine

Infection Control

Latest AI and machine learning research in infection control for healthcare professionals.

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Showing 22-42 of 4,690 articles
Machine learning for the prediction of urosepsis using electronic health record data.

Urosepsis, a medical condition resulting from the progression of urinary tract infection (UTI), is a...

Prediction of caesarean section birth using machine learning algorithms among pregnant women in a district hospital in Ghana.

BACKGROUND: Machine learning algorithms may contribute to improving maternal and child health, inclu...

A comprehensive study based on machine learning models for early identification Mycoplasma pneumoniae infection in segmental/lobar pneumonia.

Segmental/lobar pneumonia in children following Mycoplasma pneumoniae (MP) infection has a significa...

Identifying real time surveillance indicators to estimate COVID-19 hospital admissions in Colorado during and after the public health emergency.

Questions remain about how best to focus surveillance efforts for COVID-19 and other emerging respir...

The early prediction of neonatal necrotizing enterocolitis in high-risk newborns based on two medical center clinical databases.

: Early identification and timely preventive interventions play an essential role for improving the ...

A comparative study of recent large language models on generating hospital discharge summaries for lung cancer patients.

OBJECTIVE: Generating discharge summaries is a crucial yet time-consuming task in clinical practice,...

Digital transformation with the Hoobox ORĀ© system: Optimising efficiency in the surgical theatre of a Brazilian hospital.

INTRODUCTION: The Hoobox ORĀ© system is a digital automation platform designed to optimise communicat...

Artificial Intelligence-Based Hospital Malnutrition Screening: Validation of a Novel Machine Learning Model.

BACKGROUND: Despite its morbidity, mortality, and financial burden, in-hospital malnutrition remains...

A machine learning model for predicting severity-adjusted in-hospital mortality in pneumonia patients.

OBJECTIVE: This study aims to develop a customized severity adjustment tool for hospital deaths in p...

Rapid prediction of antibiotic resistance in complex using whole-genome and metagenomic sequencing.

Clinical management and surveillance of the complex (ECC) face significant challenges due to inaccu...

Leveraging Hospital Information Data for Effective Antibiotic Stewardship.

Clinical informatics has emerged as a valuable approach to enhance antimicrobial stewardship program...

Electronic Health (eHealth) and Artificial Intelligence-based Tools to Optimize In-hospital Patient Flow: A Scoping Review.

OBJECTIVES: Congested hospitals are increasingly common. Electronic health (eHealth) and artificial ...

Development and validation of a machine learning model for in-hospital mortality prediction in children under 5 years with heart failure.

BACKGROUND: Heart failure (HF) in children under five years of age carries a high risk of in-hospita...

Using interpretable survival analysis to assess hospital length of stay.

Accurate in-hospital length of stay prediction is a vital quality metric for hospital leaders and he...

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