Hospital-Based Medicine

Predicting Hospital Readmission Rates Using Data Mining Techniques.

: Due to the high costs of patient hospitalization, the increasing demand for readmission has led to...

Accuracy and challenges in age estimation in adults: a scoping review of anthropological, dental, biochemical, and molecular methods.

Age estimation is crucial in forensic sciences for victim identification, migration studies, and bio...

A Machine Learning-Reconstructed Dataset of River Discharge, Temperature, and Heat Flux into the Arctic Ocean.

Arctic rivers deliver 11% of the global river discharge volume into the Arctic Ocean, influencing oc...

Integrating artificial intelligence into the hospital supply chain to ensure the availability of medications.

Application of artificial intelligence to electronic health record data in long-term care facilities: a scoping review protocol.

INTRODUCTION: Although artificial intelligence (AI) has been widely applied to electronic health rec...

Evaluating large language models on hospital health data for automated emergency triage.

PURPOSE: Large language models (LLMs) have a significant potential in healthcare due to their abilit...

[Artificial intelligence in hospital logistics and operational processes].

The implementation of artificial intelligence (AI) solutions in hospital logistics is becoming incre...

Nontarget Screening Analysis Combined with Computational Toxicology: A Promising Solution for Identification and Risk Assessment of Environmental Pollutants in the Big Data Era.

Synthetic chemicals are intensively utilized in modern societies, and their mixtures pose significan...

Machine learning to forecast rituximab responses for paediatric immune thrombocytopenia: Forging a path towards personalized medical care.

Primary immune thrombocytopenia (ITP) is an autoimmune disorder characterized by decreased platelet ...

Development and external validation of a machine learning model for predicting drug-induced immune thrombocytopenia in a real-world hospital cohort.

BACKGROUND: Drug-induced immune thrombocytopenia (DITP) is a rare but potentially life-threatening a...

Interpretable prediction of hospital mortality in bleeding critically ill patients based on machine learning and SHAP.

BACKGROUND: Hemorrhage is a prevalent and critical condition in the intensive care unit (ICU), chara...

Research on multi-branch residual connection spectrum image classification based on attention mechanism.

The acoustic spectrogram arranges the frequencies in the sound along the frequency spread, and trans...

Predicting patient risk of leaving without being seen using machine learning: a retrospective study in a single overcrowded emergency department.

Emergency department (ED) overcrowding has become a critical issue in hospital management, leading t...

Evolving role of point-of-care ultrasound in prehospital emergency care: a narrative review.

Point-of-care ultrasound is an emerging technology in prehospital emergency care, covering a wide ra...

A holistic adaptive ageing framework (HAAF) to address complex challenges in ageing.

Many of the challenges facing ageing societies involve an interaction of factors from many domains a...

Mapping the Landscape of Spiritual Intelligence: A Bibliometric Analysis of Trends, Patterns and Future Directions.

This study provides an in-depth bibliometric analysis of research on spiritual intelligence (SI) usi...

A Scoping Review on AI-Supported Interventions for Non-Pharmacological Management of Chronic Rheumatic Diseases.

This review summarizes AI-supported non-pharmacological interventions for adults with chronic rheuma...

Moving past multidisciplinary discussions and Gender-Age-Physiology model: precision medicine through biological phenotyping in interstitial lung disease.

PURPOSE OF REVIEW: Interstitial lung disease (ILD) presents significant diagnostic and therapeutic c...

AI Predictive Model of Mortality and Intensive Care Unit Admission in the COVID-19 Pandemic: Retrospective Population Cohort Study of 12,000 Patients.

BACKGROUND: One of the main challenges with COVID-19 has been that although there are known factors ...

Value-Based Care in Orthopaedic Surgery: Outcomes, Costing, and Policy Updates.

➢ Strategic action following the measurement of outcomes in the context of cost allows for the reall...

Explainable deep learning model WAL-net for individualized assessment of potentially reversible malnutrition in patients with cancer: a multicenter cohort study.

Persistent malnutrition is associated with poor clinical outcomes in cancer. However, assessing its ...