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A systematic mapping study of semantic technologies in multi-omics data integration
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Missing-modality enabled multi-modal fusion architecture for medical data
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Network-based analysis of Alzheimer’s Disease genes using multi-omics network integration with graph diffusion
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A comprehensive validation study on the influencing factors of cough-based COVID-19 detection through multi-center data with abundant metadata
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A multimodal machine learning algorithm improved diagnostic accuracy for otitis media in a school aged Aboriginal population
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Enhancing generalization of medical image segmentation via game theory-based domain selection
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CECRel: A joint entity and relation extraction model for Chinese electronic medical records of coronary angiography via contrastive learning
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ieGENES: A machine learning method for selecting differentially expressed genes in cancer studies
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MedicalGLM: A Pediatric Medical Question Answering Model with a quality evaluation mechanism
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Contextual information contributes to biomedical named entity normalization
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FedIMPUTE: Privacy-preserving missing value imputation for multi-site heterogeneous electronic health records
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Tentative renderings: Describing local data infrastructures that support the implementation and evaluation of national evaluation Initiatives
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A novel data-driven approach for Personas validation in healthcare using self-supervised machine learning
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A graph neural network explainability strategy driven by key subgraph connectivity
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A Language-Guided Progressive Fusion Network with semantic density alignment for Medical Visual Question Answering
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Uncovering hidden subtypes in dementia: An unsupervised machine learning approach to dementia diagnosis and personalization of care
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PLAGCA: Predicting protein–ligand binding affinity with the graph cross-attention mechanism
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Ontology-driven identification of inconsistencies in clinical data: A case study in lung cancer phenotyping
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Health text simplification: An annotated corpus for digestive cancer education and novel strategies for reinforcement learning
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Proxy endpoints — bridging clinical trials and real world data
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Large Language Models, scientific knowledge and factuality: A framework to streamline human expert evaluation
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Community knowledge graph abstraction for enhanced link prediction: A study on PubMed knowledge graph
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Cross-domain visual prompting with spatial proximity knowledge distillation for histological image classification
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Advancing cancer driver gene identification through an integrative network and pathway approach
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FuseLinker: Leveraging LLM’s pre-trained text embeddings and domain knowledge to enhance GNN-based link prediction on biomedical knowledge graphs
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Clinical outcome-guided deep temporal clustering for disease progression subtyping
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BAMRE: Joint extraction model of Chinese medical entities and relations based on Biaffine transformation with relation attention
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HEART: Learning better representation of EHR data with a heterogeneous relation-aware transformer
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Data generation in healthcare environments
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Sleep apnea test prediction based on Electronic Health Records
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