Comparative Analysis of LSTM Neural Networks and Traditional Machine Learning Models for Predicting Diabetes Patient Readmission
Fuente:
arXiv
Saved in:
| Main Author: | Zarghani, Abolfazl |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Designing Adaptive Algorithms Based on Reinforcement Learning for Dynamic Optimization of Sliding Window Size in Multi-Dimensional Data Streams
by: Zarghani, Abolfazl, et al.
Published: (2025)
by: Zarghani, Abolfazl, et al.
Published: (2025)
Logical Grammar Induction via Graph Kolmogorov Complexity: A Neuro-Symbolic Framework for Self-Healing Clinical Data Integrity
by: Zarghani, Abolfazl, et al.
Published: (2026)
by: Zarghani, Abolfazl, et al.
Published: (2026)
Equity in Healthcare: Analyzing Disparities in Machine Learning Predictions of Diabetic Patient Readmissions
by: Al-Zanbouri, Zainab, et al.
Published: (2024)
by: Al-Zanbouri, Zainab, et al.
Published: (2024)
Predicting 30-Day Hospital Readmission in Medicare Patients: Insights from an LSTM Deep Learning Model
by: Li, Xintao, et al.
Published: (2024)
by: Li, Xintao, et al.
Published: (2024)
Explainable Machine Learning for ICU Readmission Prediction
by: de Sá, Alex G. C., et al.
Published: (2023)
by: de Sá, Alex G. C., et al.
Published: (2023)
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)
Comparative Assessment of Concrete Compressive Strength Prediction at Industry Scale Using Embedding-based Neural Networks, Transformers, and Traditional Machine Learning Approaches
by: Islam, Md Asiful, et al.
Published: (2026)
by: Islam, Md Asiful, et al.
Published: (2026)
Predictive Risk Stratification for Preventable Diabetes Readmissions in U.S. Hospitals
by: Mohammed Mustafa khan
Published: (2026)
by: Mohammed Mustafa khan
Published: (2026)
Comparative Analysis of LSTM, GRU, and Transformer Models for Stock Price Prediction
by: Xiao, Jue, et al.
Published: (2024)
by: Xiao, Jue, et al.
Published: (2024)
Comparative Analysis of Stroke Prediction Models Using Machine Learning
by: Tashkova, Anastasija, et al.
Published: (2025)
by: Tashkova, Anastasija, et al.
Published: (2025)
Predicting Diabetes with Machine Learning Analysis of Income and Health Factors
by: Horestani, Fariba Jafari, et al.
Published: (2024)
by: Horestani, Fariba Jafari, et al.
Published: (2024)
Risk Prediction of Cardiovascular Disease for Diabetic Patients with Machine Learning and Deep Learning Techniques
by: Chowdhury, Esha
Published: (2025)
by: Chowdhury, Esha
Published: (2025)
Predicting Diabetes Using Machine Learning: A Comparative Study of Classifiers
by: Hasan, Mahade, et al.
Published: (2025)
by: Hasan, Mahade, et al.
Published: (2025)
A Comparative Study of Machine Learning Techniques for Early Prediction of Diabetes
by: Alzboon, Mowafaq Salem, et al.
Published: (2025)
by: Alzboon, Mowafaq Salem, et al.
Published: (2025)
A Comparative Study of Diabetes Prediction Based on Lifestyle Factors Using Machine Learning
by: Nguyen, Bruce, et al.
Published: (2025)
by: Nguyen, Bruce, et al.
Published: (2025)
Advancing Financial Risk Prediction Through Optimized LSTM Model Performance and Comparative Analysis
by: Xu, Ke, et al.
Published: (2024)
by: Xu, Ke, et al.
Published: (2024)
Temporal Data Requirement for Predicting Unplanned Hospital Readmissions
by: Mohammadi, Ramin, et al.
Published: (2026)
by: Mohammadi, Ramin, et al.
Published: (2026)
Predicting All-Cause Hospital Readmissions from Medical Claims Data of Hospitalised Patients
by: Kadimisetty, Avinash, et al.
Published: (2025)
by: Kadimisetty, Avinash, et al.
Published: (2025)
Diabetes Prediction Using Machine Learning
by: GOKUL, BESTHA, et al.
Published: (2025)
by: GOKUL, BESTHA, et al.
Published: (2025)
Prediction of Wort Density with LSTM Network
by: Rembold, Derk, et al.
Published: (2024)
by: Rembold, Derk, et al.
Published: (2024)
Comparative Analysis of Polygon-Based and Global Machine Learning Models for Bus Occupancy Prediction
by: Azenkot, Daniel, et al.
Published: (2026)
by: Azenkot, Daniel, et al.
Published: (2026)
Aging Decline in Basketball Career Trend Prediction Based on Machine Learning and LSTM Model
by: Yao, Yi-chen, et al.
Published: (2025)
by: Yao, Yi-chen, et al.
Published: (2025)
BiLSTM-VHP: BiLSTM-Powered Network for Viral Host Prediction
by: Efat, Azher Ahmed, et al.
Published: (2025)
by: Efat, Azher Ahmed, et al.
Published: (2025)
LSTM Autoencoder-based Deep Neural Networks for Barley Genotype-to-Phenotype Prediction
by: Wang, Guanjin, et al.
Published: (2024)
by: Wang, Guanjin, et al.
Published: (2024)
Advanced LSTM Neural Networks for Predicting Directional Changes in Sector-Specific ETFs Using Machine Learning Techniques
by: Gowani, Rifa, et al.
Published: (2024)
by: Gowani, Rifa, et al.
Published: (2024)
Cardiovascular Disease Prediction using Machine Learning: A Comparative Analysis
by: Ramesh, Risshab Srinivas, et al.
Published: (2025)
by: Ramesh, Risshab Srinivas, et al.
Published: (2025)
Fuel Consumption Prediction: A Comparative Analysis of Machine Learning Paradigms
by: Akram, Ali
Published: (2026)
by: Akram, Ali
Published: (2026)
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)
Adaptive Online Learning with LSTM Networks for Energy Price Prediction
by: Salihoglu, Salih, et al.
Published: (2025)
by: Salihoglu, Salih, et al.
Published: (2025)
A Comprehensive Overview and Comparative Analysis on Deep Learning Models: CNN, RNN, LSTM, GRU
by: Shiri, Farhad Mortezapour, et al.
Published: (2023)
by: Shiri, Farhad Mortezapour, et al.
Published: (2023)
An Interpretable Deep-Learning Framework for Predicting Hospital Readmissions From Electronic Health Records
by: Azzalini, Fabio, et al.
Published: (2023)
by: Azzalini, Fabio, et al.
Published: (2023)
A Comparative Analysis of Machine Learning Models for DDoS Detection in IoT Networks
by: Shakya, Sushil, et al.
Published: (2024)
by: Shakya, Sushil, et al.
Published: (2024)
Machine Learning-Based Prediction of Metal-Organic Framework Materials: A Comparative Analysis of Multiple Models
by: Zheng, Zhuo, et al.
Published: (2025)
by: Zheng, Zhuo, 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)
by: Gabitashvili, Alexander, et al.
Published: (2025)
An Improved Ensemble-Based Machine Learning Model with Feature Optimization for Early Diabetes Prediction
by: Islam, Md. Najmul, et al.
Published: (2025)
by: Islam, Md. Najmul, et al.
Published: (2025)
Performance Evaluation of Deep Learning Models for Water Quality Index Prediction: A Comparative Study of LSTM, TCN, ANN, and MLP
by: Ismail, Muhammad, et al.
Published: (2024)
by: Ismail, Muhammad, et al.
Published: (2024)
Pretraining Transformer-Based Models on Diffusion-Generated Synthetic Graphs for Alzheimer's Disease Prediction
by: Moslemi, Abolfazl, et al.
Published: (2025)
by: Moslemi, Abolfazl, et al.
Published: (2025)
Comparative Analysis of Liquid Neural Networks and LSTM for Sequential Pattern Recognition: Robustness, Efficiency, and Clinical Utility
by: Thu, Ye Kyaw, et al.
Published: (2026)
by: Thu, Ye Kyaw, et al.
Published: (2026)
Predicting NVIDIA's Next-Day Stock Price: A Comparative Analysis of LSTM, MLP, ARIMA, and ARIMA-GARCH Models
by: Xing, Yiluan, et al.
Published: (2024)
by: Xing, Yiluan, et al.
Published: (2024)
Neural Networks with LSTM and GRU in Modeling Active Fires in the Amazon
by: Tavares, Ramon, et al.
Published: (2024)
by: Tavares, Ramon, et al.
Published: (2024)
Similar Items
-
Designing Adaptive Algorithms Based on Reinforcement Learning for Dynamic Optimization of Sliding Window Size in Multi-Dimensional Data Streams
by: Zarghani, Abolfazl, et al.
Published: (2025) -
Logical Grammar Induction via Graph Kolmogorov Complexity: A Neuro-Symbolic Framework for Self-Healing Clinical Data Integrity
by: Zarghani, Abolfazl, et al.
Published: (2026) -
Equity in Healthcare: Analyzing Disparities in Machine Learning Predictions of Diabetic Patient Readmissions
by: Al-Zanbouri, Zainab, et al.
Published: (2024) -
Predicting 30-Day Hospital Readmission in Medicare Patients: Insights from an LSTM Deep Learning Model
by: Li, Xintao, et al.
Published: (2024) -
Explainable Machine Learning for ICU Readmission Prediction
by: de Sá, Alex G. C., et al.
Published: (2023)