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Context-Aware adaptive normalization LSTM (CAAN-LSTM) for immunotherapy decision support in cancer clinical data analysis
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Scalable discovery and validation of order-specific electronic health record event trajectories for interpretable adverse-outcome risk estimation
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Knowledge-Guided and Reinforced Selective State Space Model for radiology report generation
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Community medical centers struggle to produce well-calibrated clinical prediction models: Data augmentation can help
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Patient-level and temporal data leakage can inflate performance in medication recommendation models: A critical appraisal of the original KATMed publication
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Enhancing adverse drug event extraction and summarization for cancer drugs through large language models
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Interpretable Graph Convolutional Networks for cardiovascular disease risk prediction in patients with Type 2 Diabetes Mellitus
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Development of death-risk score based on epidemiology of six mental disorders and application to mortality reduction via modifiable health behaviors
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Linear and non-linear feature selection for survival modelling of ischemic heart disease in patients with diabetes: Insights from electronic health records
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Composite pathway-guided Cox modeling for interpretable survival prediction in breast cancer
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A data-driven method for research trend analysis in a scientific discipline: Application to the journal of biomedical informatics
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Retrieval-augmented in-context learning for multimodal large language models in disease classification
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PlainQAFact: Retrieval-augmented factual consistency evaluation metric for biomedical plain language summarization
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Heat and hearts: An exposure-anchored computational phenotyping framework for assessing cardiovascular vulnerability during extreme heat
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DynaMamba: Multi-scale dynamic interacting Mamba network for irregular clinical time series classification
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Exploring efficiency frontiers of thinking budget in medical reasoning: Scaling laws between computational resources and reasoning quality
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DeepSTFSynergy: A multi-scale structural information fusion method for personalized drug combination prediction
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Multi-domain ECG feature extraction enable accurate automated recognition of bipolar disorder, depression and schizophrenia
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A comprehensive survey on medical concept normalization: Datasets, techniques, applications, and future directions
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Challenges of health data standard adoption and usage: a systematic review
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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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