Hospital-Based Medicine

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

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Showing 2605-2625 of 8,393 articles
CSSDH: An Ontology for Social Determinants of Health to Operational Continuity of Care Data Interoperability

The rise of digital platforms has led to an increasing reliance on technology-driven, home-based h...

Assisted morbidity coding: the SISCO.web use case for identifying the main diagnosis in Hospital Discharge Records

Coding morbidity data using international standard diagnostic classifications is increasingly impo...

Utilizing Machine Learning Models to Predict Acute Kidney Injury in Septic Patients from MIMIC-III Database

Sepsis is a severe condition that causes the body to respond incorrectly to an infection. This rea...

Human-Machine Interfaces for Subsea Telerobotics: From Soda-straw to Natural Language Interactions

This review explores the evolution of human-machine interfaces (HMIs) for subsea telerobotics, tra...

Integrating Clinical Data and Patient-Reported Outcomes for Analyzing Gender Differences and Progression in Multiple Sclerosis Using Machine Learning.

Multiple sclerosis (MS) is a complex neurodegenerative disease with a variable prognosis that compli...

Nov 2024 39575772
Impact of wearable device data and multi-scale entropy analysis on improving hospital readmission prediction.

OBJECTIVE: Unplanned readmissions following a hospitalization remain common despite significant effo...

Nov 2024 39301656
Can machine learning models improve the prediction of surgical site infection in abdominal surgery than traditional statistical models?

OBJECTIVE: To externally validate by revision and update the study on the efficacy of nosocomial inf...

Nov 2024 39552114
Machine learning-driven in-hospital mortality prediction in HIV/AIDS patients with infection: a single-centred retrospective study.

() is a widely disseminated betaherpesvirus that typically induces latant infections. In immunocom...

Nov 2024 39606806
Unlocking the Full Potential of High-Density Surface EMG: Novel Non-Invasive High-Yield Motor Unit Decomposition

The decomposition of high-density surface electromyography (HD-sEMG) signals into motor unit disch...

Reasoning-Enhanced Healthcare Predictions with Knowledge Graph Community Retrieval

Large language models (LLMs) have demonstrated significant potential in clinical decision support....

INSIGHTBUDDY-AI: Medication Extraction and Entity Linking using Large Language Models and Ensemble Learning

Medication Extraction and Mining play an important role in healthcare NLP research due to its prac...

Retrospective Comparative Analysis of Prostate Cancer In-Basket Messages: Responses from Closed-Domain LLM vs. Clinical Teams

In-basket message interactions play a crucial role in physician-patient communication, occurring d...

Predicting the Stay Length of Patients in Hospitals using Convolutional Gated Recurrent Deep Learning Model

Predicting hospital length of stay (LoS) stands as a critical factor in shaping public health stra...

Automated detection of underdiagnosed medical conditions via opportunistic imaging

Abdominal computed tomography (CT) scans are frequently performed in clinical settings. Opportunis...

Predicting Patient No-Shows: Situated Machine Learning with Imperfect Data.

Patients who do not show up for scheduled appointments are a considerable cost and concern in health...

Aug 2024 39176515
Evaluating the Predictive Features of Person-Centric Knowledge Graph Embeddings: Unfolding Ablation Studies.

Developing novel predictive models with complex biomedical information is challenging due to various...

Aug 2024 39176807
Automation of Trainable Datasets Generation for Medical-Specific Language Model: Using MIMIC-IV Discharge Notes.

This study introduces a novel approach for generating machine-generated instruction datasets for fin...

Aug 2024 39176825
Exploring Hospital Overcrowding with an Explainable Time-to-Event Machine Learning Approach.

Emergency department (ED) overcrowding is a complex problem that is intricately linked with the oper...

Aug 2024 39176833
SemOntoMap: A Hybrid Approach for Semantic Annotation of Clinical Texts.

This study addresses the challenge of leveraging free-text descriptions in Electronic Health Records...

Aug 2024 39176849
Optimizing ICU Care: Machine Learning and PCA for Early Prediction of Renal Replacement Therapy Requirement.

Forecasting the need for Renal Replacement Therapy (RRT) in intensive care units (ICUs) at an early ...

Aug 2024 39176934
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