PDF) Predictive modeling of structured electronic health records for adverse drug event detection
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Machine learning for real-time aggregated prediction of hospital admission for emergency patients
Predicting potential adverse events using safety data from marketed drugs, BMC Bioinformatics
Predictive modeling of structured electronic health records for adverse drug event detection, BMC Medical Informatics and Decision Making
Frontiers Adverse Drug Reaction Discovery Using a Tumor-Biomarker Knowledge Graph
Knowledge graph prediction of unknown adverse drug reactions and validation in electronic health records
Application of artificial intelligence and machine learning in early detection of adverse drug reactions (ADRs) and drug-induced toxicity - ScienceDirect
Use of electronic medical records in development and validation of risk prediction models of hospital readmission: systematic review
Multimodal machine learning in precision health: A scoping review
Predictive modeling of structured electronic health records for adverse drug event detection, BMC Medical Informatics and Decision Making
Machine learning guided association of adverse drug reactions with in vitro target-based pharmacology - eBioMedicine
Frontiers Developing Clinical Prediction Models Using Primary Care Electronic Health Record Data: The Impact of Data Preparation Choices on Model Performance
Population-scale identification of differential adverse events before and during a pandemic
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Clinical concept extraction: A methodology review - ScienceDirect
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