Smart feature extraction using deep learning for early diagnosis of chronic diseases in next-generation medical decision support systems

No abstract is available for this paper.

• Publication year

  2025

• Venue

  Network Modeling Analysis in Health Informatics and Bioinformatics

• Publication date

  2025-11-11

• Fields of study

  Medicine, Computer Science

• Identifiers
  DOI 10.1007/s13721-025-00641-y
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• A transformer-based framework for temporal health event prediction with graph-enhanced representations

  2025cited by this paper
• A survey of transformers and large language models for ECG diagnosis: advances, challenges, and future directions

  2025cited by this paper
• Neural-Network-Driven Intention Recognition for Enhanced Human–Robot Interaction: A Virtual-Reality-Driven Approach

  2025cited by this paper
• Deep learning techniques for detecting freezing of gait episodes in Parkinson’s disease using wearable sensors

  2025cited by this paper
• A Methodological and Structural Review of Parkinson’s Disease Detection Across Diverse Data Modalities

  2025cited by this paper
• A hybrid deep learning framework for early detection of diabetic retinopathy using retinal fundus images

  2025cited by this paper
• Multi-Domain Feature Incorporation of Lightweight Convolutional Neural Networks and Handcrafted Features for Lung and Colon Cancer Diagnosis

  2025cited by this paper
• Multi-modal machine learning approach for early detection of neurodegenerative diseases leveraging brain MRI and wearable sensor data

  2025cited by this paper
• HAMF: A Novel Hierarchical Attention-Based Multi-Modal Fusion Model for Parkinson’s Disease Classification and Severity Prediction

  2025cited by this paper
• Non-communicable diseases in the WHO African region: analysis of risk factors, mortality, and responses based on WHO data

  2025cited by this paper
• Electrocardiogram analysis for cardiac arrhythmia classification and prediction through self attention based auto encoder

  2025influential reference
• Enhancing parkinson disease detection through feature based deep learning with autoencoders and neural networks

  2025cited by this paper
• Joint fusion of EHR and ECG data using attention-based CNN and ViT for predicting adverse clinical endpoints in percutaneous coronary intervention patients

  2025cited by this paper
• Deep Convolutional Neural Networks in Medical Image Analysis: A Review

  2025cited by this paper
• Enhancing robustness in federated learning using minimal repair and dynamic adaptation in a scenario with client failures

  2025cited by this paper
• Ultrasound Assessment in Polycystic Ovary Syndrome Diagnosis: From Origins to Future Perspectives—A Comprehensive Review

  2025cited by this paper
• A comprehensive and systematic literature review on intrusion detection systems in the internet of medical things: current status, challenges, and opportunities

  2025cited by this paper
• Ensemble models of TCN-LSTM-LightGBM based on ensemble learning methods for short-term electrical load forecasting

  2025cited by this paper
• ViTs as backbones: Leveraging vision transformers for feature extraction

  2025influential reference
• Spatial temporal graph convolution network for the analysis of regional wall motion in left ventricular opacification echocardiography

  2025cited by this paper
• Cross-attention interaction learning network for multi-model image fusion via transformer

  2025cited by this paper
• Cardiovascular disease detection based on deep learning and multi-modal data fusion

  2025cited by this paper
• Deploying next-generation artificial intelligence ecosystems for real-time biosurveillance, precision health analytics and dynamic intervention planning in life science research

  2025cited by this paper
• Multi-modal deep learning framework for early detection of Parkinson’s disease using neurological and physiological data for high-fidelity diagnosis

  2025cited by this paper
• Regional attention-enhanced vision transformer for accurate Alzheimer's disease classification using sMRI data

  2025cited by this paper
• The Complexity of eHealth Architecture: Lessons Learned from Application Use Cases

  2025cited by this paper
• Machine learning identifies clinical sepsis phenotypes that translate to the plasma proteome

  2025cited by this paper
• Hybrid 3D CNN and ResNet Deep Transfer Learning for High-Resolution Hippocampal Atrophy Mapping and Automated Alzheimer’s MRI Diagnosis

  2025cited by this paper
• ATLASS: An AnaTomicaLly-Aware Self-Supervised Learning Framework for Generalizable Retinal Disease Detection.

  2025cited by this paper
• Early Prediction of Chronic Diseases Through Multimodal Data Fusion in Machine Learning: A Survey

  2025cited by this paper
• Evaluating Specialized CNN Architectures for Hip Implant Loosening Detection on Radiographic Images

  2025cited by this paper
• The deep learning applications in IoT-based bio- and medical informatics: a systematic literature review

  2024cited by this paper
• Interpretable Medical Imagery Diagnosis with Self-Attentive Transformers: A Review of Explainable AI for Health Care

  2024cited by this paper
• A novel deep learning model based on transformer and cross modality attention for classification of sleep stages

  2024cited by this paper
• Shared Awareness Across Domain‐Specific Artificial Intelligence: An Alternative to Domain‐General Intelligence and Artificial Consciousness

  2024cited by this paper
• Integration of wearable devices and deep learning: New possibilities for health management and disease prevention.

  2024cited by this paper
• A comparison of causal discovery and explainable AI (XAI) for image datasets

  2024cited by this paper
• Conventional diagnostic criteria for periodontal diseases (plaque-induced gingivitis and periodontitis).

  2024cited by this paper
• Comprehensive review of Transformer‐based models in neuroscience, neurology, and psychiatry

  2024cited by this paper
• Applications of deep learning in Alzheimer’s disease: a systematic literature review of current trends, methodologies, challenges, innovations, and future directions

  2024cited by this paper
• Advanced Signal Processing and Machine/Deep Learning Approaches on a Preprocessing Block for EEG Artifact Removal: A Comprehensive Review

  2024cited by this paper
• Enhancing image-based diagnosis of gastrointestinal tract diseases through deep learning with EfficientNet and advanced data augmentation techniques

  2024cited by this paper
• Exploring the impact of type II diabetes mellitus on voice quality

  2024cited by this paper
• Vision, body and interpretation in medical imaging diagnostics

  2024cited by this paper
• SMART: Self-Weighted Multimodal Fusion for Diagnostics of Neurodegenerative Disorders

  2024cited by this paper
• Early prediction of sudden cardiac death using multimodal fusion of ECG Features extracted from Hilbert-Huang and wavelet transforms with explainable vision transformer and CNN models

  2024cited by this paper
• Multi-modality 3D CNN Transformer for Assisting Clinical Decision in Intracerebral Hemorrhage

  2024cited by this paper
• Deep learning from latent spatiotemporal information of the heart: Identifying advanced bioimaging markers from echocardiograms.

  2024cited by this paper
• 3D Gait analysis in children using wearable sensors

  2024cited by this paper
• Recurrent Neural Networks: A Comprehensive Review of Architectures, Variants, and Applications

  2024cited by this paper
• Learning Dynamic Brain Connectome with Graph Transformers for Psychiatric Diagnosis Classification

  2024cited by this paper
• Gait acceleration-based diabetes detection using hybrid deep learning

  2024cited by this paper
• Review on enhancing clinical decision support system using machine learning

  2024cited by this paper
• Multistage transfer learning for medical images

  2024cited by this paper
• An improved cardiac arrhythmia classification using stationary wavelet transform decomposed short duration QRS segment and Bi-LSTM network

  2023cited by this paper
• Context-Aware and Time-Aware Attention-Based Model for Disease Risk Prediction With Interpretability

  2023cited by this paper
• A Self-attention Graph Convolutional Network for Precision Multi-tumor Early Diagnostics with DNA Methylation Data

  2023cited by this paper
• Short-term prediction method of blood glucose based on temporal multi-head attention mechanism for diabetic patients

  2023cited by this paper
• Oxidative Stress in Age-Related Neurodegenerative Diseases: An Overview of Recent Tools and Findings

  2023cited by this paper
• Wearable Sensors for Supporting Diagnosis, Prognosis, and Monitoring of Neurodegenerative Diseases

  2023cited by this paper
• Multimodal data integration for oncology in the era of deep neural networks: a review

  2023cited by this paper
• A Perspective on Explainable Artificial Intelligence Methods: SHAP and LIME

  2023cited by this paper
• Wearable sensors and features for diagnosis of neurodegenerative diseases: A systematic review

  2023cited by this paper
• NSICA: Multi-objective imperialist competitive algorithm for feature selection in arrhythmia diagnosis

  2023cited by this paper
• A self-supervised anomaly detection algorithm with interpretability

  2023cited by this paper
• Metabolic imaging across scales reveals distinct prostate cancer phenotypes

  2023cited by this paper
• RAISE - Radiology AI Safety, an End-to-end lifecycle approach

  2023cited by this paper
• Benchmarking feature selection and feature extraction methods to improve the performances of machine-learning algorithms for patient classification using metabolomics biomedical data

  2023cited by this paper
• Fusing modalities by multiplexed graph neural networks for outcome prediction from medical data and beyond

  2023cited by this paper
• Brain MRI Analysis for Alzheimer’s Disease Diagnosis Using CNN-Based Feature Extraction and Machine Learning

  2022cited by this paper
• A Hybrid Deep Learning Approach for ECG-Based Arrhythmia Classification

  2022cited by this paper
• Artificial intelligence-based methods for fusion of electronic health records and imaging data

  2022cited by this paper
• Applying Artificial Intelligence to Wearable Sensor Data to Diagnose and Predict Cardiovascular Disease: A Review

  2022cited by this paper
• Non-Communicable Diseases: The Invisible Epidemic

  2022cited by this paper
• A method for the early prediction of chronic diseases based on short sequential medical data

  2022cited by this paper
• Deep multimodal fusion of image and non-image data in disease diagnosis and prognosis: a review

  2022cited by this paper
• A Multi-Headed Transformer Approach for Predicting the Patient’s Clinical Time-Series Variables From Charted Vital Signs

  2022cited by this paper
• A Survey of Information Extraction Based on Deep Learning

  2022cited by this paper
• Clinlabomics: leveraging clinical laboratory data by data mining strategies

  2022cited by this paper
• Focused Attention in Transformers for interpretable classification of retinal images

  2022cited by this paper
• Using U-Net Network for Efficient Brain Tumor Segmentation in MRI Images

  2022influential reference
• Unsupervised machine learning in urban studies: A systematic review of applications

  2022cited by this paper
• Feature Selection Using Artificial Gorilla Troop Optimization for Biomedical Data: A Case Analysis with COVID-19 Data

  2022cited by this paper
• Efficient deep learning-based automated diagnosis from echocardiography with contrastive self-supervised learning

  2022cited by this paper
• Deep Learning Approaches for Automatic Localization in Medical Images

  2022cited by this paper
• Exploring Transformers for Behavioural Biometrics: A Case Study in Gait Recognition

  2022cited by this paper
• DeepFeature: feature selection in nonimage data using convolutional neural network

  2021cited by this paper
• Chaos, Solitons and Fractals

  2021cited by this paper
• Chaotic-based divide-and-conquer feature selection method and its application in cardiac arrhythmia classification

  2021cited by this paper
• Interpretable deep learning model for building energy consumption prediction based on attention mechanism

  2021cited by this paper
• Attention-based interpretable neural network for building cooling load prediction

  2021cited by this paper
• Temporal Feature-Based Classification Into Myocardial Infarction and Other CVDs Merging CNN and Bi-LSTM From ECG Signal

  2021cited by this paper
• Novel Applications of NSAIDs: Insight and Future Perspectives in Cardiovascular, Neurodegenerative, Diabetes and Cancer Disease Therapy

  2021cited by this paper
• Diabetic Retinopathy Fundus Image Classification and Lesions Localization System Using Deep Learning

  2021cited by this paper
• A deep learning system for detecting diabetic retinopathy across the disease spectrum

  2021cited by this paper
• Diagnosis of Alzheimer's Disease Severity with fMRI Images Using Robust Multitask Feature Extraction Method and Convolutional Neural Network (CNN)

  2021cited by this paper
• Forecasting of Glucose Levels and Hypoglycemic Events: Head-to-Head Comparison of Linear and Nonlinear Data-Driven Algorithms Based on Continuous Glucose Monitoring Data Only

  2021cited by this paper
• Transfer learning for ECG classification

  2021cited by this paper
• Multimodal deep learning models for early detection of Alzheimer’s disease stage

  2021cited by this paper
• A new automated CNN deep learning approach for identification of ECG congestive heart failure and arrhythmia using constant-Q non-stationary Gabor transform

  2021cited by this paper

• Artificial intelligence with transformer neural network driven analysis of electronic health records for clinical insights on symptom based disease prediction

  2026cites this paper
• Explainable Transformer Models for Early Prediction of Chronic Diseases Using Longitudinal Electronic Health Records (EHRs)

  2026cites this paper