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Hospital-Based-Medicine Subcategories: Hospitalists Infection Control Intensivists Nursing Risk Management Surveillance

Showing 484-504 of 9,800 articles

Integrating Dynamic Red Blood Cell Distribution Width Monitoring and β-Blocker Therapy for Mortality Prediction in Intensive Care Unit Cardiomyopathy Patients: A Bayesian Multivariate Joint Model and Machine Learning Study.

Cardiomyopathy is a key cause of cardiovascular mortality in critically ill patients. Although red ...

May 2025 PMID: 40428228

Automated Risk Prediction of Post-Stroke Adverse Mental Outcomes Using Deep Learning Methods and Sequential Data.

Depression and anxiety are common comorbidities of stroke. Research has shown that about 30% of stro...

May 2025 PMID: 40428136

Personalized Nutrition Strategies for Patients in the Intensive Care Unit: A Narrative Review on the Future of Critical Care Nutrition.

Critically ill patients in intensive care units (ICUs) are at high risk of malnutrition, which can ...

May 2025 PMID: 40431399

Micro hole drilling and multi criteria optimization of soda lime glass via ultrasonic assisted rotary electrochemical discharge drilling.

Regardless of the materials' intrinsic characteristics, electrochemical discharge drilling (ECDD) ef...

May 2025 PMID: 40346154

Assessing and validating machine learning-enhanced imputation of admission American Spinal Injury Association Impairment Scale grades for spinal cord injury.

OBJECTIVE: The American Spinal Injury Association Impairment Scale (AIS) assigned at patient admissi...

May 2025 PMID: 40344756

Predicting onward care needs at admission to reduce discharge delay using explainable machine learning.

Early identification of patients who require onward referral to social care can prevent delays to di...

May 2025 PMID: 40341633

Prediction of the functional outcome of intensive inpatient rehabilitation after stroke using machine learning methods.

An accurate and reliable functional prognosis is vital to stroke patients addressing rehabilitation,...

May 2025 PMID: 40341247

Exploring the Potential of ChatGPT for the Summarization of Patient Medical Histories: A Pilot Study.

Improvements in operations through the use of artificial intelligence (AI) are expected in various f...

May 2025 PMID: 40525027

Application of artificial intelligence (AI) in the creation of discharge summaries in psychiatric clinics.

BackgroundThe integration of artificial intelligence (AI; ChatGPT 4.0) into medical workflow present...

May 2025 PMID: 39285727

Identifying protected health information by transformers-based deep learning approach in Chinese medical text.

In the context of Chinese clinical texts, this paper aims to propose a deep learning algorithm base...

Jan 2025 PMID: 39862116

PROGNOSTIC ACCURACY OF MACHINE LEARNING MODELS FOR IN-HOSPITAL MORTALITY AMONG CHILDREN WITH PHOENIX SEPSIS ADMITTED TO THE PEDIATRIC INTENSIVE CARE UNIT.

Objective: The Phoenix sepsis criteria define sepsis in children with suspected or confirmed infecti...

Jan 2025 PMID: 39671551

Machine learning-based prediction of clinical outcomes after traumatic brain injury: Hidden information of early physiological time series.

AIMS: To assess the predictive value of early-stage physiological time-series (PTS) data and non-int...

Jul 2024 PMID: 38973193

Hospital-Based Medicine

Browse Specialties

Integrating Dynamic Red Blood Cell Distribution Width Monitoring and β-Blocker Therapy for Mortality Prediction in Intensive Care Unit Cardiomyopathy Patients: A Bayesian Multivariate Joint Model and Machine Learning Study.

Automated Risk Prediction of Post-Stroke Adverse Mental Outcomes Using Deep Learning Methods and Sequential Data.

Personalized Nutrition Strategies for Patients in the Intensive Care Unit: A Narrative Review on the Future of Critical Care Nutrition.

Micro hole drilling and multi criteria optimization of soda lime glass via ultrasonic assisted rotary electrochemical discharge drilling.

Assessing and validating machine learning-enhanced imputation of admission American Spinal Injury Association Impairment Scale grades for spinal cord injury.

Predicting onward care needs at admission to reduce discharge delay using explainable machine learning.

Prediction of the functional outcome of intensive inpatient rehabilitation after stroke using machine learning methods.

Exploring the Potential of ChatGPT for the Summarization of Patient Medical Histories: A Pilot Study.

Application of artificial intelligence (AI) in the creation of discharge summaries in psychiatric clinics.

Identifying protected health information by transformers-based deep learning approach in Chinese medical text.

PROGNOSTIC ACCURACY OF MACHINE LEARNING MODELS FOR IN-HOSPITAL MORTALITY AMONG CHILDREN WITH PHOENIX SEPSIS ADMITTED TO THE PEDIATRIC INTENSIVE CARE UNIT.

What Kind of Transformer Models to Use for the ICD-10 Codes Classification Task.

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

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

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

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

The Application Artificial Intelligence-Assisted Robot System in Nursing Follow-up of Discharged Patients.

Interictal Epileptiform Discharge Detection Using Time-Frequency Analysis and Transfer Learning.

Evaluating LLMs for Diagnosis Summarization.

LightIED: Explainable AI with Light CNN for Interictal Epileptiform Discharge Detection.

Machine learning-based prediction of clinical outcomes after traumatic brain injury: Hidden information of early physiological time series.

Browse Specialties