PDF) Predictive modeling of structured electronic health records for adverse drug event detection
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From promise to practice: towards the realisation of AI-informed mental health care - The Lancet Digital Health
Advancing drug safety science by integrating molecular knowledge with post‐marketing adverse event reports - Soldatos - 2022 - CPT: Pharmacometrics & Systems Pharmacology - Wiley Online Library
Identifying adverse drug event information in clinical notes with distributional semantic representations of context - ScienceDirect
Informatics, Free Full-Text
Predictive modeling of structured electronic health records for adverse drug event detection, BMC Medical Informatics and Decision Making
PDF) Predictive modeling of structured electronic health records for adverse drug event detection
Applying Natural Language Processing to Healthcare Text at Scale - The Databricks Blog
Mining electronic health records: towards better research applications and clinical care
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Data-Driven Modeling of Pregnancy-Related Complications: Trends in Molecular Medicine
Deep representation learning of patient data from Electronic Health Records (EHR): A systematic review - ScienceDirect
The Secondary Use of Electronic Health Records for Data Mining: Data Characteristics and Challenges
Use of deep learning to develop continuous-risk models for adverse event prediction from electronic health records
Health system-scale language models are all-purpose prediction engines
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