Infection Control

Explanation of machine learning models using shapley additive explanation and application for real data in hospital.

BACKGROUND AND OBJECTIVE: When using machine learning techniques in decision-making processes, the i...

Deep-Learning Approach to Predict Survival Outcomes Using Wearable Actigraphy Device Among End-Stage Cancer Patients.

Survival prediction is highly valued in end-of-life care clinical practice, and patient performance ...

Validating machine learning models for the prediction of labour induction intervention using routine data: a registry-based retrospective cohort study at a tertiary hospital in northern Tanzania.

OBJECTIVES: We aimed at identifying the important variables for labour induction intervention and as...

The Use of Artificial Intelligence to Predict the On-Scene Return of Spontaneous Circulation in the Out-of-Hospital Setting: A Time to Do More for Cardiac Arrest?

X-Ray Film under Artificial Intelligence Algorithm in the Evaluation for Nursing Effect of Gamma Nail Internal Fixation in Elderly Patients with Intertrochanteric Fracture of Femur.

The aim of this work was to explore the effects of Gamma nail internal fixation for intertrochanteri...

Artificial Intelligence Assistive Technology in Hospital Professional Nursing Technology.

Global aging is becoming more and more serious, and the nursing problems of the elderly will become ...

Diagnostic Value of Deep Learning-Based CT Feature for Severe Pulmonary Infection.

The study aimed to explore the diagnostic value of computed tomography (CT) images based on cavity c...

Incidence and risk factors of in-hospital venous thromboembolism in non-oncological urological inpatients: A single center experience.

OBJECTIVE: To determine incidence and risk factors for venous thromboembolism (VTE) development of i...

Machine Learning-Based Gynecologic Tumor Diagnosis and Its Postoperative Incisional Infection Influence Factor Analysis.

Various factors influencing postoperative incisional infection in gynecologic tumors were analyzed, ...

Making sense of the French public hospital system: a network-based approach to hospital clustering using unsupervised learning methods.

BACKGROUND: Hospitals in the public and private sectors tend to join larger organizations to form ho...

Evaluation of the Postoperative Nursing Effect of Thoracic Surgery Assisted by Artificial Intelligence Robot.

In order to evaluate the postoperative nursing effect of artificial intelligence robot-assisted thor...

Mandate to evaluate robotic surgery implementation: a 12-year retrospective analysis of impact and future implications.

The introduction of robotic surgery in hospitals has raised much debate given the various effects on...

Machine learning in the prediction of medical inpatient length of stay.

Length of stay (LOS) estimates are important for patients, doctors and hospital administrators. Howe...

A machine-learning parsimonious multivariable predictive model of mortality risk in patients with Covid-19.

The COVID-19 pandemic is impressively challenging the healthcare system. Several prognostic models h...

Susceptible-Infected-Removed Mathematical Model under Deep Learning in Hospital Infection Control of Novel Coronavirus Pneumonia.

OBJECTIVE: This research aimed to explore the application of a mathematical model based on deep lear...

Automated Diagnosis and Localization of Melanoma from Skin Histopathology Slides Using Deep Learning: A Multicenter Study.

In traditional hospital systems, diagnosis and localization of melanoma are the critical challenges ...

How prevalent and severe is addiction on GABAmimetic drugs in an elderly German general hospital population? Focus on gabapentinoids, benzodiazepines, and z-hypnotic drugs.

OBJECTIVE: Gabapentinoids (GPT) are reported to be increasingly misused by opioid- and polydrug-user...

Generalisability and performance of an OCT-based deep learning classifier for community-based and hospital-based detection of gonioscopic angle closure.

PURPOSE: To assess the generalisability and performance of a deep learning classifier for automated ...

Adaptive Control Improves Sclera Force Safety in Robot-Assisted Eye Surgery: A Clinical Study.

The integration of robotics into retinal microsurgery leads to a reduction in surgeon perception of ...

Early prediction of in-hospital death of COVID-19 patients: a machine-learning model based on age, blood analyses, and chest x-ray score.

An early-warning model to predict in-hospital mortality on admission of COVID-19 patients at an emer...

Simultaneous degradation of glucocorticoids and sterilization using bubbling corona discharge plasma based systems: A promising terminal water treatment facility for hospital wastewater.

Glucocorticoids (GCs) have drawn great concern due to their widespread contamination in the environm...