PDF) Predictive modeling of structured electronic health records for adverse drug event detection
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Last updated 10 novembro 2024
Shifting machine learning for healthcare from development to deployment and from models to data
Adverse drug event detection using natural language processing: A scoping review of supervised learning methods
Frontiers Psychosis Relapse Prediction Leveraging Electronic Health Records Data and Natural Language Processing Enrichment Methods
Remote patient monitoring using artificial intelligence: Current state, applications, and challenges - Shaik - 2023 - WIREs Data Mining and Knowledge Discovery - Wiley Online Library
Deep representation learning of patient data from Electronic Health Records (EHR): A systematic review - ScienceDirect
Informatics, Free Full-Text
(PDF) Predictive modeling of structured electronic health records for adverse drug event detection
Electronic health record - Wikipedia
Scalable and accurate deep learning with electronic health records
Analysis of free text in electronic health records for identification of cancer patient trajectories
Artificial intelligence in pharmacology research and practice - Lee - 2023 - Clinical and Translational Science - Wiley Online Library
Deep Patient: An Unsupervised Representation to Predict the Future of Patients from the Electronic Health Records
Identifying adverse drug event information in clinical notes with distributional semantic representations of context - ScienceDirect
Applied Sciences, Free Full-Text
Artificial Intelligence-Based Pharmacovigilance in the Setting of Limited Resources
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