Hospital-Based Medicine

Latest AI and machine learning research in hospital-based medicine for healthcare professionals.

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Mortality prediction of inpatients with NSTEMI in a premier hospital in China based on stacking model.

BACKGROUND: Acute myocardial infarction (AMI) remains a leading cause of hospitalization and death i...

Harnessing the Power of Machine Learning Guided Discovery of NLRP3 Inhibitors Towards the Effective Treatment of Rheumatoid Arthritis.

The NLRP3 inflammasome, plays a critical role in the pathogenesis of rheumatoid arthritis (RA) by ac...

A machine learning-based clinical predictive tool to identify patients at high risk of medication errors.

A medication error is an inadvertent failure in the drug therapy process that can cause serious harm...

Prediction of prognosis in patients with cerebral contusions based on machine learning.

Traumatic brain injury (TBI) is a global issue and a major cause of patient mortality, and cerebral ...

Early prediction of functional impairment at hospital discharge in patients with osteoporotic vertebral fracture: a machine learning approach.

Although conservative treatment is commonly used for osteoporotic vertebral fracture (OVF), some pat...

Hope for the best prepare for the worst: acute kidney disease and catastrophic comorbidities (a case report).

It is evident that Acute Kidney Injury (AKI) is an independent risk factor for both the survival of ...

Comparative Algorithms for Identifying and Counting Hospitalisation Episodes of Care for Coronary Heart Disease Using Administrative Data.

PURPOSE: Measures of disease burden using hospital administrative data are susceptible to over-infla...

Predicting the likelihood of readmission in patients with ischemic stroke: An explainable machine learning approach using common data model data.

BACKGROUND: Ischemic stroke affects 15 million people worldwide, causing five million deaths annuall...

Exploring correlates of high psychiatric inpatient utilization in Switzerland: a descriptive and machine learning analysis.

BACKGROUND: This study investigated socio-demographic, psychiatric, and psychological characteristic...

Intelligent imaging technology applications in multidisciplinary hospitals.

With the rapid development of artificial intelligence technology, its applications in medical imagin...

Artificial intelligence in triage of COVID-19 patients.

In 2019, COVID-19 began one of the greatest public health challenges in history, reaching pandemic s...

Construction and validation of a readmission risk prediction model for elderly patients with coronary heart disease.

BACKGROUND: To investigate the risk factors for readmission of elderly patients with coronary artery...

Expectations and Requirements of Surgical Staff for an AI-Supported Clinical Decision Support System for Older Patients: Qualitative Study.

BACKGROUND: Geriatric comanagement has been shown to improve outcomes of older surgical inpatients. ...

Spontaneous Hepatic Rupture Complicating Preeclampsia and HELLP Syndrome: A Case Report.

Spontaneous hepatic rupture is a rare complication that occurs in pregnant mothers with HELLP syndr...

Large Language Models Applied to Health Care Tasks May Improve Clinical Efficiency, Value of Care Rendered, Research, and Medical Education.

Large language models (LLMs) are generative artificial intelligence models that create content on th...

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