Cover Image

Optimizing Mortality Prediction for ICU Heart Failure Patients: Leveraging XGBoost and Advanced Machine Learning with the MIMIC-III Database

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ashrafi, Negin, Abdollahi, Armin, Zhang, Jiahong, Pishgar, Maryam
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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

Enhanced Prediction of Ventilator-Associated Pneumonia in Patients with Traumatic Brain Injury Using Advanced Machine Learning Techniques
by: Ashrafi, Negin, et al.
Published: (2024)

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

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

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

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

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

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

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

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

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

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

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

Predicting Short-Term Mortality in Elderly ICU Patients with Diabetes and Heart Failure: A Distributional Inference Framework
by: Fan, Junyi, et al.
Published: (2025)

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

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

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

Predicting Length of Stay in Neurological ICU Patients Using Classical Machine Learning and Neural Network Models: A Benchmark Study on MIMIC-IV
by: Gabitashvili, Alexander, et al.
Published: (2025)

Mortality Prediction of Pulmonary Embolism Patients with Deep Learning and XGBoost
by: Tur, Yalcin, et al.
Published: (2024)

Voice-Driven Mortality Prediction in Hospitalized Heart Failure Patients: A Machine Learning Approach Enhanced with Diagnostic Biomarkers
by: Ahmadli, Nihat, et al.
Published: (2024)

Enhancing Mortality Prediction in Heart Failure Patients: Exploring Preprocessing Methods for Imbalanced Clinical Datasets
by: Kia, Hanif, et al.
Published: (2023)

Cost-Aware Prediction (CAP): An LLM-Enhanced Machine Learning Pipeline and Decision Support System for Heart Failure Mortality Prediction
by: Yu, Yinan, et al.
Published: (2025)

Interpretable Machine Learning Model for Early Prediction of 30-Day Mortality in ICU Patients With Coexisting Hypertension and Atrial Fibrillation: A Retrospective Cohort Study
by: Chen, Shuheng, et al.
Published: (2025)

MIMIC-Sepsis: A Curated Benchmark for Modeling and Learning from Sepsis Trajectories in the ICU
by: Huang, Yong, et al.
Published: (2025)

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

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

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

Evaluating the Fairness of the MIMIC-IV Dataset and a Baseline Algorithm: Application to the ICU Length of Stay Prediction
by: Kakadiaris, Alexandra
Published: (2023)

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

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

Predicting ICU In-Hospital Mortality Using Adaptive Transformer Layer Fusion
by: Wang, Han, et al.
Published: (2025)

Think as a Doctor: An Interpretable AI Approach for ICU Mortality Prediction
by: Li, Qingwen, et al.
Published: (2025)

Explainable Machine Learning for ICU Readmission Prediction
by: de Sá, Alex G. C., et al.
Published: (2023)

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

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

XAI for In-hospital Mortality Prediction via Multimodal ICU Data
by: Li, Xingqiao, et al.
Published: (2023)

Association Between Albumin‐Corrected Anion Gap and Mortality in ICU Patients With Acute Heart Failure: A MIMIC‐IV Cohort Study
by: Huijuan Pu, et al.
Published: (2026)

Self-explaining Neural Network with Concept-based Explanations for ICU Mortality Prediction
by: Kumar, Sayantan, et al.
Published: (2021)

Causal Explainability of Machine Learning in Heart Failure Prediction from Electronic Health Records
by: Hou, Yina, et al.
Published: (2025)