Hospital-Based Medicine

Infection Control

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

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Prediction of good neurological recovery after out-of-hospital cardiac arrest: A machine learning analysis.

BACKGROUND: This study aimed to train, validate and compare predictive models that use machine learn...

Incorporating Laboratory Values Into a Machine Learning Model Improves In-Hospital Mortality Predictions After Rapid Response Team Call.

OBJECTIVES: Machine learning models have been used to predict mortality among patients requiring rap...

Outcome prediction of out-of-hospital cardiac arrest with presumed cardiac aetiology using an advanced machine learning technique.

BACKGROUND: Outcome prediction for patients with out-of-hospital cardiac arrest (OHCA) has the possi...

Quality of working life from the perspective of different groups of professionals working in a maternity hospital.

The relationship between people and work has a direct impact on quality of life and health. The obje...

Using a Multi-Task Recurrent Neural Network With Attention Mechanisms to Predict Hospital Mortality of Patients.

Estimating hospital mortality of patients is important in assisting clinicians to make decisions and...

Development and Prospective Validation of a Machine Learning-Based Risk of Readmission Model in a Large Military Hospital.

BACKGROUND: Thirty-day hospital readmissions are a quality metric for health care systems. Predictiv...

An ensemble learning method for asthma control level detection with leveraging medical knowledge-based classifier and supervised learning.

Approximately 300 million people are afflicted with asthma around the world, with the estimated deat...

Matched Learning for Optimizing Individualized Treatment Strategies Using Electronic Health Records.

Current guidelines for treatment decision making largely rely on data from randomized controlled tri...

Deep-learning-based out-of-hospital cardiac arrest prognostic system to predict clinical outcomes.

AIM: Out-of-hospital cardiac arrest (OHCA) is a major healthcare burden, and prognosis is critical i...

A machine learning based model for Out of Hospital cardiac arrest outcome classification and sensitivity analysis.

BACKGROUND: Out-of-hospital cardiac arrest (OHCA) affects nearly 400,000 people each year in the Uni...

Recursive neural networks in hospital bed occupancy forecasting.

BACKGROUND: Efficient planning of hospital bed usage is a necessary condition to minimize the hospit...

Microbiological validation of a robot for the sterile compounding of injectable non-hazardous medications in a hospital environment.

OBJECTIVES: To design and execute a comprehensive microbiological validation protocol to assess a br...

Predictors of in-hospital length of stay among cardiac patients: A machine learning approach.

OBJECTIVE: The In-hospital length of stay (LOS) is expected to increase as cardiovascular diseases c...

Machine learning methods for detecting urinary tract infection and analysing daily living activities in people with dementia.

Dementia is a neurological and cognitive condition that affects millions of people around the world....

Prevalence and molecular characteristics of gene in in a tertiary hospital of Zhejiang Province.

OBJECTIVES: gene has been widely reported in the world. This study aimed to analyze the prevalence ...

Machine learning modeling for predicting hospital readmission following lumbar laminectomy.

In BriefAuthors of this study analyzed hospital readmissions following laminectomy and developed pre...

Association Between Early Intravenous Fluids Provided by Paramedics and Subsequent In-Hospital Mortality Among Patients With Sepsis.

IMPORTANCE: Early administration of intravenous fluids is recommended for all patients with sepsis, ...

Automatic classification of pediatric pneumonia based on lung ultrasound pattern recognition.

Pneumonia is one of the major causes of child mortality, yet with a timely diagnosis, it is usually ...

Deep learning for predicting in-hospital mortality among heart disease patients based on echocardiography.

BACKGROUND: Heart disease (HD) is the leading cause of global death; there are several mortality pre...

Hyponatremia Presenting with Recurrent Mania.

Primary psychogenic polydipsia (PPD) is a chronic, relapsing condition in which there is a disturban...

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