Papers Disease Prediction
“Disease Prediction” 태그가 달린 논문 261편 · 필터 해제
Analysis of Image-and-Text Uncertainty Propagation in Multimodal Large Language Models with Cardiac MR-Based Applications
Multimodal large language models (MLLMs) can process and integrate information from multimodality sources, such as text and images. However, interrelationship among input modalities, uncertainties due to individual uni-m…
Disease PredictionTrustworthy Chronic Disease Risk Prediction For Self-Directed Preventive Care via Medical Literature Validation
Chronic diseases are long-term, manageable, yet typically incurable conditions, highlighting the need for effective preventive strategies. Machine learning has been widely used to assess individual risk for chronic disea…
Disease PredictionA Structured Dataset of Disease-Symptom Associations to Improve Diagnostic Accuracy
Disease-symptom datasets are significant and in demand for medical research, disease diagnosis, clinical decision-making, and AI-driven health management applications. These datasets help identify symptom patterns associ…
ArticlesDiagnosticDisease PredictionIdentifying Alzheimer's Disease Prediction Strategies of Convolutional Neural Network Classifiers using R2* Maps and Spectral Clustering
Deep learning models have shown strong performance in classifying Alzheimer's disease (AD) from R2* maps, but their decision-making remains opaque, raising concerns about interpretability. Previous studies suggest biases…
ClusteringDisease PredictionDuAL-Net: A Hybrid Framework for Alzheimer's Disease Prediction from Whole-Genome Sequencing via Local SNP Windows and Global Annotations
Alzheimer's disease (AD) dementia is the most common form of dementia. With the emergence of disease-modifying therapies, predicting disease risk before symptom onset has become critical. We introduce DuAL-Net, a hybrid …
Disease PredictionA Comprehensive Machine Learning Framework for Heart Disease Prediction: Performance Evaluation and Future Perspectives
This study presents a machine learning-based framework for heart disease prediction using the heart-disease dataset, comprising 303 samples with 14 features. The methodology involves data preprocessing, model training, a…
Decision MakingDisease PredictionMambaControl: Anatomy Graph-Enhanced Mamba ControlNet with Fourier Refinement for Diffusion-Based Disease Trajectory Prediction
Modelling disease progression in precision medicine requires capturing complex spatio-temporal dynamics while preserving anatomical integrity. Existing methods often struggle with longitudinal dependencies and structural…
AnatomyDisease PredictionMambaPrediction+2Predicting Diabetes Using Machine Learning: A Comparative Study of Classifiers
Diabetes remains a significant health challenge globally, contributing to severe complications like kidney disease, vision loss, and heart issues. The application of machine learning (ML) in healthcare enables efficient …
Diabetes PredictionDisease PredictionPredictionMultimodal Integrated Knowledge Transfer to Large Language Models through Preference Optimization with Biomedical Applications
The scarcity of high-quality multimodal biomedical data limits the ability to effectively fine-tune pretrained Large Language Models (LLMs) for specialized biomedical tasks. To address this challenge, we introduce MINT (…
Disease PredictionRAGTransfer LearningRobust & Precise Knowledge Distillation-based Novel Context-Aware Predictor for Disease Detection in Brain and Gastrointestinal
Medical disease prediction, particularly through imaging, remains a challenging task due to the complexity and variability of medical data, including noise, ambiguity, and differing image quality. Recent deep learning mo…
Disease PredictionKnowledge DistillationModel SelectionTransfer LearningLightweight Clinical Decision Support System using QLoRA-Fine-Tuned LLMs and Retrieval-Augmented Generation
This research paper investigates the application of Large Language Models (LLMs) in healthcare, specifically focusing on enhancing medical decision support through Retrieval-Augmented Generation (RAG) integrated with hos…
Disease PredictionQuantizationRAGRetrieval-augmented GenerationDifferential Privacy-Driven Framework for Enhancing Heart Disease Prediction
With the rapid digitalization of healthcare systems, there has been a substantial increase in the generation and sharing of private health data. Safeguarding patient information is essential for maintaining consumer trus…
Decision MakingDisease PredictionDrug DiscoveryFederated Learning+1Right Prediction, Wrong Reasoning: Uncovering LLM Misalignment in RA Disease Diagnosis
Large language models (LLMs) offer a promising pre-screening tool, improving early disease detection and providing enhanced healthcare access for underprivileged communities. The early diagnosis of various diseases conti…
DiagnosticDisease PredictionPredictionA multi-locus predictiveness curve and its summary assessment for genetic risk prediction
With the advance of high-throughput genotyping and sequencing technologies, it becomes feasible to comprehensive evaluate the role of massive genetic predictors in disease prediction. There exists, therefore, a critical …
Disease PredictionGenetic Risk PredictionPredictionRetinal Fundus Multi-Disease Image Classification using Hybrid CNN-Transformer-Ensemble Architectures
Our research is motivated by the urgent global issue of a large population affected by retinal diseases, which are evenly distributed but underserved by specialized medical expertise, particularly in non-urban areas. Our…
Computational EfficiencyDiagnosticDisease Predictionimage-classification+1CardioTabNet: A Novel Hybrid Transformer Model for Heart Disease Prediction using Tabular Medical Data
The early detection and prediction of cardiovascular diseases are crucial for reducing the severe morbidity and mortality associated with these conditions worldwide. A multi-headed self-attention mechanism, widely used i…
BenchmarkingDisease PredictionExplainable Graph-theoretical Machine Learning: with Application to Alzheimer's Disease Prediction
Alzheimer's disease (AD) affects 50 million people worldwide and is projected to overwhelm 152 million by 2050. AD is characterized by cognitive decline due partly to disruptions in metabolic brain connectivity. Thus, ea…
Density EstimationDisease PredictionDynamic Time WarpingFeature selection strategies for optimized heart disease diagnosis using ML and DL models
Heart disease remains one of the leading causes of morbidity and mortality worldwide, necessitating the development of effective diagnostic tools to enable early diagnosis and clinical decision-making. This study evaluat…
Decision MakingDiagnosticDisease Predictionfeature selectionSMPR: A structure-enhanced multimodal drug-disease prediction model for drug repositioning and cold start
Repositioning drug-disease relationships has always been a hot field of research. However, actual cases of biologically validated drug relocation remain very limited, and existing models have not yet fully utilized the s…
Disease PredictionIn Shift and In Variance: Assessing the Robustness of HAR Deep Learning Models against Variability
Human Activity Recognition (HAR) using wearable inertial measurement unit (IMU) sensors can revolutionize healthcare by enabling continual health monitoring, disease prediction, and routine recognition. Despite the high …
Activity RecognitionDisease PredictionHuman Activity Recognition