Hospital-Based Medicine

Infection Control

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

4,700 articles
Stay Ahead - Weekly Infection Control research updates
Subscribe
Browse Specialties
Showing 631-651 of 4,700 articles
Machine learning models for predicting in-hospital mortality from acute pancreatitis in intensive care unit.

BACKGROUND: Acute pancreatitis (AP) represents a critical medical condition where timely and precise...

A predictive model for hospital death in cancer patients with acute pulmonary embolism using XGBoost machine learning and SHAP interpretation.

The prediction of in-hospital mortality in cancer patients with acute pulmonary embolism (APE) remai...

Forecasting Surgical Bed Utilization: Architectural Design of a Machine Learning Pipeline Incorporating Predicted Length of Stay and Surgical Volume.

The objective of this study was to develop a machine learning model utilizing data from the electron...

Predicting hospital outpatient volume using XGBoost: a machine learning approach.

Hospital outpatient volume is influenced by a variety of factors, including environmental conditions...

Pre-hospital delay and mortality in different age groups with acute coronary syndrome: do we have enough evidence?

INTRODUCTION: Pre-hospital delay (p-HD) in acute coronary syndrome (ACS) influences the ability to p...

Machine Learning-Based Hospital Readmission Prediction: A Comparative Analysis of Speciality-Specific vs. All-Specialities Models.

Hospital readmissions are a major challenge for healthcare systems, leading to increased costs and a...

Transforming Data from a Commercial Hospital Information System into FHIR.

The expanded use of hospital information systems in recent decades offers possibilities to use data ...

Identifying Mild-to-Moderate Atopic Dermatitis Using a Generic Machine Learning Approach: A Danish National Health Register Study.

Atopic dermatitis is a chronic skin disease, causing itching and recurrent eczematous lesions. In Da...

Accuracy of Machine Learning Models to Predict In-hospital Cardiac Arrest: A Systematic Review.

PURPOSE/AIMS: Despite advances in healthcare, the incidence of in-hospital cardiac arrest (IHCA) has...

User-Centered Methods in Explainable AI Development for Hospital Clinical Decision Support: A Scoping Review.

Explainable Artificial Intelligence (XAI) offers promising advancements in enhancing transparency an...

[Surveillance for pneumonia of unknown etiology: current status, challenges, and implementation ways].

The prevention and control of emerging and reemerging infectious diseases are crucial for national b...

Are Wearable ECG Devices Ready for Hospital at Home Application?

The increasing focus on improving care for high-cost patients has highlighted the potential of Hospi...

Machine learning-based prediction of 90-day prognosis and in-hospital mortality in hemorrhagic stroke patients.

This study aims to predict hemorrhagic stroke outcomes, including 90-day prognosis and in-hospital m...

Predicting onward care needs at admission to reduce discharge delay using explainable machine learning.

Early identification of patients who require onward referral to social care can prevent delays to di...

Predicting In-Hospital Mortality in Patients With Acute Myocardial Infarction: A Comparison of Machine Learning Approaches.

BACKGROUND: Acute myocardial infarction (AMI) remains a leading global cause of mortality. This stud...

Browse Specialties