Hospital-Based Medicine

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

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Integrating Remote Patient Monitoring Data into Machine Learning Models for Predicting Emergency Department Utilization.

The integration of Remote Patient Monitoring (RPM) data into risk stratification models has emerged ...

Early Disease Prediction Using a Text-Numerical Hybrid Model Using Large-Scale Clinical Real-World Data.

To assist physicians in predicting diseases, most natural language processing (NLP) models have focu...

Optimization of Radiology Diagnostic Services for Patients with Stroke in Multidisciplinary Hospitals.

BACKGROUND: Effective radiology diagnostic services are crucial for the timely and precise diagnosis...

Modelling and Controlling System Dynamics of the Brain: An Intersection of Machine Learning and Control Theory.

The human brain, as a complex system, has long captivated multidisciplinary researchers aiming to de...

Artificial Intelligence in Eye Movements Analysis for Alzheimer's Disease Early Diagnosis.

As the world's population ages, Alzheimer's disease is currently the seventh most common cause of de...

Interpretable Machine Learning Models Using Peripheral Immune Cells to Predict 90-Day Readmission or Mortality in Acute Heart Failure Patients.

BACKGROUND: Acute heart failure (AHF) carries a grave prognosis, marked by high readmission and mort...

Strategies for Implementing Machine Learning Algorithms in the Clinical Practice of Radiology.

Despite recent advancements in machine learning (ML) applications in health care, there have been fe...

Current Scenario and Future Prospects of Adverse Drug Reactions (ADRs) Monitoring and Reporting Mechanisms in the Rural Areas of India.

Pharmacovigilance (PV) deals with the detection, collection, assessment, understanding, and preventi...

Optimizing platelet transfusion through a personalized deep learning risk assessment system for demand management.

Platelet demand management (PDM) is a resource-consuming task for physicians and transfusion manager...

Evaluation of inpatient medication guidance from an artificial intelligence chatbot.

PURPOSE: To analyze the clinical completeness, correctness, usefulness, and safety of chatbot and me...

Self-supervised machine learning using adult inpatient data produces effective models for pediatric clinical prediction tasks.

OBJECTIVE: Development of electronic health records (EHR)-based machine learning models for pediatri...

Maturity degree assessment of hospital ward system using integrated fuzzy AHP-TOPSIS model.

BACKGROUND: The hospital ward system is the core service unit of a hospital and an important aspect ...

Efficacy of Pulse Methylprednisolone in Treatment of Acute Respiratory Distress Syndrome due to Malaria: A Randomized Controlled Clinical Trial.

: To study the efficacy of pulse methylprednisolone (MPS) therapy in patients with malaria-associate...

Improving Cardiology-Rehospitalization Prediction Through the Synergy of Process Mining and Deep Learning: An Innovative Approach.

Nowadays, hospitals are facing the need for an accurate prediction of rehospitalizations. Rehospital...

Understanding and Use of Artificial Intelligence Among Doctors in a University Hospital in Morocco.

INTRODUCTION: Research and development in artificial intelligence (AI) has increased dramatically ov...

The use of natural language processing in detecting and predicting falls within the healthcare setting: a systematic review.

Falls are a common problem associated with significant morbidity, mortality, and economic costs. Cur...

Design and implementation of a smart Internet of Things chest pain center based on deep learning.

The data input process for most chest pain centers is not intelligent, requiring a lot of staff to m...

Prediction of the Fatal Acute Complications of Myocardial Infarction via Machine Learning Algorithms.

BACKGROUND: Myocardial infarction (MI) is a major cause of death, particularly during the first year...

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