PDF) Predictive modeling of structured electronic health records for adverse drug event detection
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Last updated 24 março 2025


Frontiers Intelligent Health Care: Applications of Deep Learning in Computational Medicine

Maximizing the use of social and behavioural information from secondary care mental health electronic health records - ScienceDirect

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From promise to practice: towards the realisation of AI-informed mental health care - The Lancet Digital Health

Machine learning approaches for predicting the onset time of the adverse drug events in oncology - ScienceDirect

Predictive modeling of depression and anxiety using electronic health records and a novel machine learning approach with artificial intelligence

Shifting machine learning for healthcare from development to deployment and from models to data

Advancing drug safety science by integrating molecular knowledge with post‐marketing adverse event reports - Soldatos - 2022 - CPT: Pharmacometrics & Systems Pharmacology - Wiley Online Library

An artificial intelligence framework integrating longitudinal electronic health records with real-world data enables continuous pan-cancer prognostication

Machine learning for real-time aggregated prediction of hospital admission for emergency patients

Predictive modeling of structured electronic health records for adverse drug event detection, BMC Medical Informatics and Decision Making

A contextual multi-task neural approach to medication and adverse events identification from clinical text - ScienceDirect

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PDF) Predictive modeling of structured electronic health records for adverse drug event detection
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