HyCARD-Net: A Synergistic Hybrid Intelligence Framework for Cardiovascular Disease Diagnosis
Fuente:
arXiv
Saved in:
| Main Authors: | Gupta, Rajan Das, Wu, Xiaobin, Liu, Xun, He, Jiaqi |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
HyBattNet: Hybrid Framework for Predicting the Remaining Useful Life of Lithium-Ion Batteries
by: Tran, Khoa, et al.
Published: (2025)
by: Tran, Khoa, et al.
Published: (2025)
Explainable Machine Learning Framework for Cardiovascular Disease Diagnosis and Prognosis
by: Sourov, Md. Emon Akter, et al.
Published: (2025)
by: Sourov, Md. Emon Akter, et al.
Published: (2025)
Time-Efficient Hybrid Hyperparameter Tuning Approach for Cardiovascular Disease Classification
by: Pathak, Abhay Kumar, et al.
Published: (2024)
by: Pathak, Abhay Kumar, et al.
Published: (2024)
Fuzzy Rule based Intelligent Cardiovascular Disease Prediction using Complex Event Processing
by: Kumar, Shashi Shekhar, et al.
Published: (2024)
by: Kumar, Shashi Shekhar, et al.
Published: (2024)
HyPAC: Cost-Efficient LLMs-Human Hybrid Annotation with PAC Error Guarantees
by: Zeng, Hao, et al.
Published: (2026)
by: Zeng, Hao, et al.
Published: (2026)
Residual GRU+MHSA: A Lightweight Hybrid Recurrent Attention Model for Cardiovascular Disease Detection
by: Dash, Tejaswani, et al.
Published: (2025)
by: Dash, Tejaswani, et al.
Published: (2025)
DiagnoLLM: A Hybrid Bayesian Neural Language Framework for Interpretable Disease Diagnosis
by: Xu, Bowen, et al.
Published: (2025)
by: Xu, Bowen, et al.
Published: (2025)
An Enhanced Privacy-preserving Federated Few-shot Learning Framework for Respiratory Disease Diagnosis
by: Wang, Ming, et al.
Published: (2025)
by: Wang, Ming, et al.
Published: (2025)
A Multi-target Bayesian Transformer Framework for Predicting Cardiovascular Disease Biomarkers during Pandemics
by: Inekwe, Trusting, et al.
Published: (2025)
by: Inekwe, Trusting, et al.
Published: (2025)
Learning to better see the unseen: Broad-Deep Mixed Anti-Forgetting Framework for Incremental Zero-Shot Fault Diagnosis
by: Zhao, Jiancheng, et al.
Published: (2024)
by: Zhao, Jiancheng, et al.
Published: (2024)
Efficient Handwriting-Based Alzheimer,s Disease Diagnosis Using a Low-Rank Mixture of Experts Deep Learning Framework
by: Wang, Wu, et al.
Published: (2026)
by: Wang, Wu, et al.
Published: (2026)
Symbolic Cognitive Diagnosis via Hybrid Optimization for Intelligent Education Systems
by: Shen, Junhao, et al.
Published: (2023)
by: Shen, Junhao, et al.
Published: (2023)
Hybrid Modeling of Photoplethysmography for Non-invasive Monitoring of Cardiovascular Parameters
by: Palumbo, Emanuele, et al.
Published: (2025)
by: Palumbo, Emanuele, et al.
Published: (2025)
Languages are Modalities: Cross-Lingual Alignment via Encoder Injection
by: Agarwal, Rajan, et al.
Published: (2025)
by: Agarwal, Rajan, et al.
Published: (2025)
A Hybrid PCA-PR-Seq2Seq-Adam-LSTM Framework for Time-Series Power Outage Prediction
by: Das, Subhabrata, et al.
Published: (2025)
by: Das, Subhabrata, et al.
Published: (2025)
LuckyMera: a Modular AI Framework for Building Hybrid NetHack Agents
by: Quarantiello, Luigi, et al.
Published: (2023)
by: Quarantiello, Luigi, et al.
Published: (2023)
DiffHybrid-UQ: Uncertainty Quantification for Differentiable Hybrid Neural Modeling
by: Akhare, Deepak, et al.
Published: (2023)
by: Akhare, Deepak, et al.
Published: (2023)
HyPA-RAG: A Hybrid Parameter Adaptive Retrieval-Augmented Generation System for AI Legal and Policy Applications
by: Kalra, Rishi, et al.
Published: (2024)
by: Kalra, Rishi, et al.
Published: (2024)
A Diagnosis and Treatment of Liver Diseases: Integrating Batch Processing, Rule-Based Event Detection and Explainable Artificial Intelligence
by: Chandra, Ritesh, et al.
Published: (2023)
by: Chandra, Ritesh, et al.
Published: (2023)
DiabetesNet: A Deep Learning Approach to Diabetes Diagnosis
by: Zhang, Zeyu, et al.
Published: (2024)
by: Zhang, Zeyu, et al.
Published: (2024)
A Compact LSTM-SVM Fusion Model for Long-Duration Cardiovascular Diseases Detection
by: Wu, Siyang
Published: (2023)
by: Wu, Siyang
Published: (2023)
RoHyDR: Robust Hybrid Diffusion Recovery for Incomplete Multimodal Emotion Recognition
by: Jin, Yuehan, et al.
Published: (2025)
by: Jin, Yuehan, et al.
Published: (2025)
CE-SSL: Computation-Efficient Semi-Supervised Learning for ECG-based Cardiovascular Diseases Detection
by: Zhou, Rushuang, et al.
Published: (2024)
by: Zhou, Rushuang, et al.
Published: (2024)
HyConEx: Hypernetwork classifier with counterfactual explanations for tabular data
by: Marszałek, Patryk, et al.
Published: (2025)
by: Marszałek, Patryk, et al.
Published: (2025)
Research on Early Warning Model of Cardiovascular Disease Based on Computer Deep Learning
by: Hu, Yuxiang, et al.
Published: (2024)
by: Hu, Yuxiang, et al.
Published: (2024)
Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training
by: Chen, Ruishuo, et al.
Published: (2025)
by: Chen, Ruishuo, et al.
Published: (2025)
Multi-Source Knowledge-Based Hybrid Neural Framework for Time Series Representation Learning
by: Sakhinana, Sagar Srinivas, et al.
Published: (2024)
by: Sakhinana, Sagar Srinivas, et al.
Published: (2024)
Adaptable Cardiovascular Disease Risk Prediction from Heterogeneous Data using Large Language Models
by: Lübeck, Frederike, et al.
Published: (2025)
by: Lübeck, Frederike, et al.
Published: (2025)
Linear Contextual Bandits with Hybrid Payoff: Revisited
by: Das, Nirjhar, et al.
Published: (2024)
by: Das, Nirjhar, et al.
Published: (2024)
EGR-Net: A Novel Embedding Gramian Representation CNN for Intelligent Fault Diagnosis
by: Jia, Linshan
Published: (2025)
by: Jia, Linshan
Published: (2025)
Personalized Artificial General Intelligence (AGI) via Neuroscience-Inspired Continuous Learning Systems
by: Gupta, Rajeev, et al.
Published: (2025)
by: Gupta, Rajeev, et al.
Published: (2025)
A Survey of Artificial Intelligence in Gait-Based Neurodegenerative Disease Diagnosis
by: Rao, Haocong, et al.
Published: (2024)
by: Rao, Haocong, et al.
Published: (2024)
BRAINS: A Retrieval-Augmented System for Alzheimer's Detection and Monitoring
by: Gupta, Rajan Das, et al.
Published: (2025)
by: Gupta, Rajan Das, et al.
Published: (2025)
GeSubNet: Gene Interaction Inference for Disease Subtype Network Generation
by: Yang, Ziwei, et al.
Published: (2024)
by: Yang, Ziwei, et al.
Published: (2024)
Efficient Multi-View Fusion and Flexible Adaptation to View Missing in Cardiovascular System Signals
by: Hu, Qihan, et al.
Published: (2024)
by: Hu, Qihan, et al.
Published: (2024)
A Hybrid Computational Intelligence Framework with Metaheuristic Optimization for Drug-Drug Interaction Prediction
by: Shamami, Maryam Abdollahi, et al.
Published: (2025)
by: Shamami, Maryam Abdollahi, et al.
Published: (2025)
Intelligent Operation and Maintenance and Prediction Model Optimization for Improving Wind Power Generation Efficiency
by: Liu, Xun, et al.
Published: (2025)
by: Liu, Xun, et al.
Published: (2025)
MIPS: a Multimodal Infinite Polymer Sequence Pre-training Framework for Polymer Property Prediction
by: Wang, Jiaxi, et al.
Published: (2025)
by: Wang, Jiaxi, et al.
Published: (2025)
Explainable Artificial Intelligence Techniques for Accurate Fault Detection and Diagnosis: A Review
by: Maged, Ahmed, et al.
Published: (2024)
by: Maged, Ahmed, et al.
Published: (2024)
Explore Brain-Inspired Machine Intelligence for Connecting Dots on Graphs Through Holographic Blueprint of Oscillatory Synchronization
by: Dan, Tingting, et al.
Published: (2026)
by: Dan, Tingting, et al.
Published: (2026)
Similar Items
-
HyBattNet: Hybrid Framework for Predicting the Remaining Useful Life of Lithium-Ion Batteries
by: Tran, Khoa, et al.
Published: (2025) -
Explainable Machine Learning Framework for Cardiovascular Disease Diagnosis and Prognosis
by: Sourov, Md. Emon Akter, et al.
Published: (2025) -
Time-Efficient Hybrid Hyperparameter Tuning Approach for Cardiovascular Disease Classification
by: Pathak, Abhay Kumar, et al.
Published: (2024) -
Fuzzy Rule based Intelligent Cardiovascular Disease Prediction using Complex Event Processing
by: Kumar, Shashi Shekhar, et al.
Published: (2024) -
HyPAC: Cost-Efficient LLMs-Human Hybrid Annotation with PAC Error Guarantees
by: Zeng, Hao, et al.
Published: (2026)