Interpretable Machine Learning Model for Early Prediction of 30-Day Mortality in ICU Patients With Coexisting Hypertension and Atrial Fibrillation: A Retrospective Cohort Study
Fuente:
arXiv
Saved in:
| Main Authors: | Chen, Shuheng, Si, Yong, Fan, Junyi, Sun, Li, Placencia, Greg, Pishgar, Elham, Alaei, Kamiar, Pishgar, Maryam |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Predicting ICU Readmission in Acute Pancreatitis Patients Using a Machine Learning-Based Model with Enhanced Clinical Interpretability
by: Chen, Shuheng, et al.
Published: (2025)
by: Chen, Shuheng, 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)
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)
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)
by: Si, Yong, et al.
Published: (2025)
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)
by: Chen, Shuheng, et al.
Published: (2025)
Machine Learning-Based Prediction of Mortality in Geriatric Traumatic Brain Injury Patients
by: Si, Yong, et al.
Published: (2025)
by: Si, Yong, et al.
Published: (2025)
Development of Interactive Nomograms for Predicting Short-Term Survival in ICU Patients with Aplastic Anemia
by: Fan, Junyi, et al.
Published: (2025)
by: Fan, Junyi, 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)
by: Li, Tinghuan, et al.
Published: (2025)
Machine Learning-Based Model for Postoperative Stroke Prediction in Coronary Artery Disease
by: Pan, Haonan, et al.
Published: (2025)
by: Pan, Haonan, 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)
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)
by: Fan, Junyi, 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)
by: Jin, Houji, et al.
Published: (2025)
Machine Learning-Based Prediction of ICU Readmissions in Intracerebral Hemorrhage Patients: Insights from the MIMIC Databases
by: Chen, Shuheng, et al.
Published: (2025)
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)
by: Shumilov, Arseniy, 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)
by: Fan, Junyi, et al.
Published: (2025)
Utilizing Machine Learning Models to Predict Acute Kidney Injury in Septic Patients from MIMIC-III Database
by: Roknaldin, Aleyeh, et al.
Published: (2024)
by: Roknaldin, Aleyeh, et al.
Published: (2024)
Advanced Predictive Modeling for Enhanced Mortality Prediction in ICU Stroke Patients Using Clinical Data
by: Abdollahi, Armin, et al.
Published: (2024)
by: Abdollahi, Armin, 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)
by: Ashrafi, Negin, et al.
Published: (2024)
Optimizing Mortality Prediction for ICU Heart Failure Patients: Leveraging XGBoost and Advanced Machine Learning with the MIMIC-III Database
by: Ashrafi, Negin, et al.
Published: (2024)
by: Ashrafi, Negin, et al.
Published: (2024)
Which Voices Move Markets? Speaker Identity and the Cross-Section of Post-Earnings Returns
by: Sidhu, Karmanpartap Singh, et al.
Published: (2026)
by: Sidhu, Karmanpartap Singh, et al.
Published: (2026)
Dynamic Token Selection for Aerial-Ground Person Re-Identification
by: Wang, Yuhai, et al.
Published: (2024)
by: Wang, Yuhai, et al.
Published: (2024)
Enhanced Prediction of Ventilator-Associated Pneumonia in Patients with Traumatic Brain Injury Using Advanced Machine Learning Techniques
by: Ashrafi, Negin, et al.
Published: (2024)
by: Ashrafi, Negin, et al.
Published: (2024)
Optimizing Urban Mobility Through Complex Network Analysis and Big Data from Smart Cards
by: Sun, Li, et al.
Published: (2025)
by: Sun, Li, et al.
Published: (2025)
Screening for Atrial Fibrillation by Digital Health Technology in Older People in Homecare Settings: A Feasibility Trial
by: Edvard Liljedahl Sandberg, et al.
Published: (2024)
by: Edvard Liljedahl Sandberg, et al.
Published: (2024)
Epidemiology, Trajectories and Outcomes of Acute Kidney Injury Among Hospitalized Patients: A Retrospective Multicenter Large Cohort Study
by: Adiyeke, Esra, et al.
Published: (2024)
by: Adiyeke, Esra, et al.
Published: (2024)
Externally Validated Longitudinal GRU Model for Visit-Level 180-Day Mortality Risk in Metastatic Castration-Resistant Prostate Cancer
by: Mencia-Ledo, Javier, et al.
Published: (2026)
by: Mencia-Ledo, Javier, et al.
Published: (2026)
Multipurpose error calibration of pipeline analog‐to‐digital converters using decision points of the residue curve in sub‐analog‐to‐digital converters
by: Kourosh Ghanbari, et al.
Published: (2024)
by: Kourosh Ghanbari, et al.
Published: (2024)
Makeham Mortality Models as Mixtures
by: Patricio, Silvio C., et al.
Published: (2023)
by: Patricio, Silvio C., et al.
Published: (2023)
Mortality Modeling and Forecasting with the Actuaries Climate Index
by: Barigou, Karim, et al.
Published: (2025)
by: Barigou, Karim, et al.
Published: (2025)
Mortality Modelling using Generalized Estimating Equations
by: Dastranj, Reza, et al.
Published: (2024)
by: Dastranj, Reza, et al.
Published: (2024)
Jointly Estimating Subnational Mortality for Multiple Populations
by: Dharamshi, Ameer, et al.
Published: (2023)
by: Dharamshi, Ameer, et al.
Published: (2023)
Mortality Forecasting with Generalized Additive Mixed Models
by: Dastranj, Reza, et al.
Published: (2023)
by: Dastranj, Reza, et al.
Published: (2023)
Bayesian Mapping of Mortality Clusters
by: Sottosanti, Andrea, et al.
Published: (2024)
by: Sottosanti, Andrea, et al.
Published: (2024)
Early Prediction of Student Performance Using Bayesian Updating with Informative Priors Across Cohorts
by: Schwerter, Jakob, et al.
Published: (2026)
by: Schwerter, Jakob, et al.
Published: (2026)
Nonresponse Bias Analysis in Longitudinal Studies: A Comparative Review with an Application to the Early Childhood Longitudinal Study
by: Si, Yajuan, et al.
Published: (2022)
by: Si, Yajuan, et al.
Published: (2022)
Estimation of Heterogeneous Causal Mediation Effects in a Hypertension Treatment Trial
by: Zhao, Yi, et al.
Published: (2025)
by: Zhao, Yi, et al.
Published: (2025)
The Skellam Distribution revisited -Estimating the unobserved incoming and outgoing ICU COVID-19 patients on a regional level in Germany
by: Rave, Martje, et al.
Published: (2023)
by: Rave, Martje, et al.
Published: (2023)
Mortality simulations for insured and general populations
by: Nalmpatian, Asmik, et al.
Published: (2025)
by: Nalmpatian, Asmik, et al.
Published: (2025)
Analyzing State-Level Longevity Trends with the U.S. Mortality Database
by: Ludkovski, Mike, et al.
Published: (2023)
by: Ludkovski, Mike, et al.
Published: (2023)
Forecasting Mortality Rates: A Linear Mixed-Effects Model
by: Dastranj, Reza, et al.
Published: (2023)
by: Dastranj, Reza, et al.
Published: (2023)
Similar Items
-
Predicting ICU Readmission in Acute Pancreatitis Patients Using a Machine Learning-Based Model with Enhanced Clinical Interpretability
by: Chen, Shuheng, 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) -
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) -
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)