Buchumschlag

Enhanced Prediction of Ventilator-Associated Pneumonia in Patients with Traumatic Brain Injury Using Advanced Machine Learning Techniques

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Ashrafi, Negin, Abdollahi, Armin, Pishgar, Maryam
Format:	Preprint
Veröffentlicht:	2024
Schlagworte:	Machine Learning
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

Advanced Predictive Modeling for Enhanced Mortality Prediction in ICU Stroke Patients Using Clinical Data
von: Abdollahi, Armin, et al.
Veröffentlicht: (2024)

Optimizing Mortality Prediction for ICU Heart Failure Patients: Leveraging XGBoost and Advanced Machine Learning with the MIMIC-III Database
von: Ashrafi, Negin, et al.
Veröffentlicht: (2024)

Effect of a Process Mining based Pre-processing Step in Prediction of the Critical Health Outcomes
von: Ashrafi, Negin, et al.
Veröffentlicht: (2024)

Machine Learning-Based Prediction of ICU Readmissions in Intracerebral Hemorrhage Patients: Insights from the MIMIC Databases
von: Chen, Shuheng, et al.
Veröffentlicht: (2025)

Data-Driven Machine Learning Approaches for Predicting In-Hospital Sepsis Mortality
von: Shumilov, Arseniy, et al.
Veröffentlicht: (2024)

A Novel Multi-Task Teacher-Student Architecture with Self-Supervised Pretraining for 48-Hour Vasoactive-Inotropic Trend Analysis in Sepsis Mortality Prediction
von: Jin, Houji, et al.
Veröffentlicht: (2025)

Machine Learning-Based Prediction of ICU Mortality in Sepsis-Associated Acute Kidney Injury Patients Using MIMIC-IV Database with Validation from eICU Database
von: Chen, Shuheng, et al.
Veröffentlicht: (2025)

TimingLLM: A Two-Stage Retrieval-Augmented Framework for Pre-Synthesis Timing Prediction from Verilog
von: Abdollahi, Armin, et al.
Veröffentlicht: (2026)

Aligning Language Models with Clinical Expertise: DPO for Heart Failure Nursing Documentation in Critical Care
von: Fan, Junyi, et al.
Veröffentlicht: (2025)

Machine Learning-Based Prediction of Mortality in Geriatric Traumatic Brain Injury Patients
von: Si, Yong, et al.
Veröffentlicht: (2025)

Interpretable Machine Learning Model for Early Prediction of Acute Kidney Injury in Critically Ill Patients with Cirrhosis: A Retrospective Study
von: Sun, Li, et al.
Veröffentlicht: (2025)

Utilizing Machine Learning Models to Predict Acute Kidney Injury in Septic Patients from MIMIC-III Database
von: Roknaldin, Aleyeh, et al.
Veröffentlicht: (2024)

Early Mortality Prediction in ICU Patients with Hypertensive Kidney Disease Using Interpretable Machine Learning
von: Si, Yong, et al.
Veröffentlicht: (2025)

Predicting Postoperative Stroke in Elderly SICU Patients: An Interpretable Machine Learning Model Using MIMIC Data
von: Li, Tinghuan, et al.
Veröffentlicht: (2025)

Clinically Interpretable Mortality Prediction for ICU Patients with Diabetes and Atrial Fibrillation: A Machine Learning Approach
von: Sun, Li, et al.
Veröffentlicht: (2025)

Predicting Mortality and Functional Status Scores of Traumatic Brain Injury Patients using Supervised Machine Learning
von: Steinmetz, Lucas, et al.
Veröffentlicht: (2024)

Optimizing Urban Mobility Through Complex Network Analysis and Big Data from Smart Cards
von: Sun, Li, et al.
Veröffentlicht: (2025)

Development of Interactive Nomograms for Predicting Short-Term Survival in ICU Patients with Aplastic Anemia
von: Fan, Junyi, et al.
Veröffentlicht: (2025)

LLM Encoder vs. Decoder: Robust Detection of Chinese AI-Generated Text with LoRA
von: Jin, Houji, et al.
Veröffentlicht: (2025)

Machine Learning-Based Model for Postoperative Stroke Prediction in Coronary Artery Disease
von: Pan, Haonan, et al.
Veröffentlicht: (2025)

Machine Learning Applications in Traumatic Brain Injury: A Spotlight on Mild TBI
von: Ellethy, Hanem, et al.
Veröffentlicht: (2024)

Prediction of Significant Creatinine Elevation in First ICU Stays with Vancomycin Use: A retrospective study through Catboost
von: Fan, Junyi, et al.
Veröffentlicht: (2025)

RocketPPA: Code-Level Power, Performance, and Area Prediction via LLM and Mixture of Experts
von: Abdollahi, Armin, et al.
Veröffentlicht: (2025)

Enhancing Multi-Modal Video Sentiment Classification Through Semi-Supervised Clustering
von: Saadatinia, Mehrshad, et al.
Veröffentlicht: (2025)

Advancing GDP Forecasting: The Potential of Machine Learning Techniques in Economic Predictions
von: Oancea, Bogdan
Veröffentlicht: (2025)

Enhancing Bankruptcy Prediction of Banks through Advanced Machine Learning Techniques: An Innovative Approach and Analysis
von: Rustam, Zuherman, et al.
Veröffentlicht: (2025)

Enhancing Uncertain Demand Prediction in Hospitals Using Simple and Advanced Machine Learning
von: Hu, Annie, et al.
Veröffentlicht: (2024)

Bank Loan Prediction Using Machine Learning Techniques
von: Haque, F M Ahosanul, et al.
Veröffentlicht: (2024)

Traffic Congestion Prediction Using Machine Learning Techniques
von: Yasir, Rafed Muhammad, et al.
Veröffentlicht: (2022)

Risk Prediction of Cardiovascular Disease for Diabetic Patients with Machine Learning and Deep Learning Techniques
von: Chowdhury, Esha
Veröffentlicht: (2025)

A Hybrid Computational Intelligence Framework with Metaheuristic Optimization for Drug-Drug Interaction Prediction
von: Shamami, Maryam Abdollahi, et al.
Veröffentlicht: (2025)

Enhancing Cryptocurrency Market Forecasting: Advanced Machine Learning Techniques and Industrial Engineering Contributions
von: Pinky, Jannatun Nayeem, et al.
Veröffentlicht: (2024)

Predicting ICU Readmission in Acute Pancreatitis Patients Using a Machine Learning-Based Model with Enhanced Clinical Interpretability
von: Chen, Shuheng, et al.
Veröffentlicht: (2025)

Physics-Inspired Deep Learning and Transferable Models for Bridge Scour Prediction
von: Yousefpour, Negin, et al.
Veröffentlicht: (2024)

Compressed Sensing: Mathematical Foundations, Implementation, and Advanced Optimization Techniques
von: Stevenson, Shane, et al.
Veröffentlicht: (2025)

Multi-fidelity Machine Learning for Uncertainty Quantification and Optimization
von: Zhang, Ruda, et al.
Veröffentlicht: (2024)

Recent Advances in Traffic Accident Analysis and Prediction: A Comprehensive Review of Machine Learning Techniques
von: Behboudi, Noushin, et al.
Veröffentlicht: (2024)

HDLFORGE: A Two-Stage Multi-Agent Framework for Efficient Verilog Code Generation with Adaptive Model Escalation
von: Abdollahi, Armin, et al.
Veröffentlicht: (2026)

Predicting the Impact of Scope Changes on Project Cost and Schedule Using Machine Learning Techniques
von: Sadeghi, Soheila
Veröffentlicht: (2024)

Advancing Eurasia Fire Understanding Through Machine Learning Techniques
von: Kriuk, Boris
Veröffentlicht: (2025)