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Conceptual framework for prediction models of patient deterioration based on nursing documentation patterns: reproducibility and generalizability with a large number of hospitals across the United States
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CLEAR: A vision to support clinical evidence lifecycle with continuous learning
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COVID-19 prediction with doubly multi-task Gaussian Process
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Accounting for population structure in deep learning models for genomic analysis
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Identifying homogenous patient subgroups using transformer based hierarchical clustering of heterogeneous Mixed-Modality medical data
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Joint modeling of mixed outcomes using a rank-based sparse neural network
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Uncovering digital overdiagnosis – Quantification and mitigation using clinical trajectories: Heparin-induced thrombocytopenia use case
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A multifaceted approach to drug–drug interaction extraction with fusion strategies
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Natural language processing for scalable feature engineering and ultra-high-dimensional confounding adjustment in healthcare database studies
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Variational temporal deconfounder network for individualized treatment effect estimation with longitudinal observational data
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GutGPT: A multidimensional knowledge-enhanced large language model for gastrointestinal medicine
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Adaptive-AutoMO: A domain adaptive automated multiobjective neural network for reliable lesion malignancy prediction via digital breast tomosynthesis
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Measuring disease burden with individual cumulative incidence in patients with cirrhosis
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Federated causal discovery with missing data in a multicentric study on endometrial cancer
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Identifying task groupings for multi-task learning using pointwise V-usable information
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An open-set semi-supervised multi-task learning framework for context classification in biomedical texts
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A scoping review of natural language processing in addressing medically inaccurate information: Errors, misinformation, and hallucination
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A review on knowledge graphs for healthcare: Resources, applications, and promises
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Rapid review: Growing usage of Multimodal Large Language Models in healthcare
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Digital twins in increasing diversity in clinical trials: A systematic review
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Cross-Modal self-supervised vision language pre-training with multiple objectives for medical visual question answering
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Sleep apnea test prediction based on Electronic Health Records
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MultiADE: A Multi-domain benchmark for Adverse Drug Event extraction
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Importance of variables from different time frames for predicting self-harm using health system data
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Early multi-cancer detection through deep learning: An anomaly detection approach using Variational Autoencoder
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Taxonomy-based prompt engineering to generate synthetic drug-related patient portal messages
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Structural analysis and intelligent classification of clinical trial eligibility criteria based on deep learning and medical text mining
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Biomedical document-level relation extraction with thematic capture and localized entity pooling
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How to identify patient perception of AI voice robots in the follow-up scenario? A multimodal identity perception method based on deep learning
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Machine learning approaches for the discovery of clinical pathways from patient data: A systematic review
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