Hospital-Based Medicine

Infection Control

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

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Application of multi-gene genetic programming to the prognosis prediction of COVID-19 using routine hematological variables.

Identifying patients who may develop severe COVID-19 has been of interest to clinical physicians sin...

Effectiveness of continuity of care after robot-assisted laparoscopic adrenalectomy under ambulatory mode: a single-center intervention study.

To investigate the effectiveness of continuity of care after robot-assisted adrenal tumor resection ...

An audit of medullary thyroid carcinoma from a tertiary care hospital in northwest India.

INTRODUCTION: Medullary thyroid carcinoma (MTC) is a rare thyroid malignancy originating from parafo...

A personalized prediction model for urinary tract infections in type 2 diabetes mellitus using machine learning.

Patients with type 2 diabetes mellitus (T2DM) are at higher risk for urinary tract infections (UTIs)...

Predicting the risk of hospital readmissions using a machine learning approach: a case study on patients undergoing skin procedures.

INTRODUCTION: Even with modern advancements in medical care, one of the persistent challenges hospit...

Deep learning-based prediction of in-hospital mortality for sepsis.

As a serious blood infection disease, sepsis is characterized by a high mortality risk and many comp...

Machine learning application for prediction of surgical site infection after posterior cervical surgery.

Surgical site infection (SSI) is one of the most common complications of posterior cervical surgery....

CT-based deep learning model for predicting hospital discharge outcome in spontaneous intracerebral hemorrhage.

OBJECTIVES: To predict the functional outcome of patients with intracerebral hemorrhage (ICH) using ...

The Role of β-Defensin 1 Against Porphyromonas gingivalis Lipopolysaccharide-Mediated Inflammation in the THP-1 Cell Line.

Introduction lipopolysaccharide (Pg-LPS) is one of the crucial virulence factors of periodontitis. ...

Evaluation of Gabapentin and Pregabalin Use in Hospitalized Patients With Decreased Kidney Function.

Gabapentin and pregabalin are well-tolerated medications primarily cleared by the kidney. Patients ...

All aboard the ChatGPT steamroller: Top 10 ways to make artificial intelligence work for healthcare professionals.

Chat Generative Pre-trained Transformer (ChatGPT), the flagship generative artificial intelligence (...

Explainable hierarchical clustering for patient subtyping and risk prediction.

We present a pipeline in which machine learning techniques are used to automatically identify and ev...

Perspective: Limiting Antimicrobial Resistance with Artificial Intelligence/Machine Learning.

The author traces his experience with the application of computers in clinical microbiology over the...

Deep learning prediction of hospital readmissions for asthma and COPD.

QUESTION: Severe asthma and COPD exacerbations requiring hospitalization are linked to increased dis...

An adaptive ensemble deep learning framework for reliable detection of pandemic patients.

Nurses, often considered the backbone of global health services, are disproportionately vulnerable t...

Asprosin is a Reliable Predictor of Osteoporosis in Type 2 Diabetic Postmenopausal Women: A Case-Control Study.

The study evaluates Asprosin's value in diabetic postmenopausal women, examining its reliability as ...

[Use of AI-based applications by hospital staff: task profiles and qualification requirements].

BACKGROUND: Artificial intelligence (AI) is becoming increasingly important for the future developme...

Finding the best trade-off between performance and interpretability in predicting hospital length of stay using structured and unstructured data.

OBJECTIVE: This study aims to develop high-performing Machine Learning and Deep Learning models in p...

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