Bioinformatics | Health Informatics | Pharmacology Comparing a Large Language Model with Previous Deep Learning Models on Named Entity Recognition of Adverse Drug Events. August 23, 2024
Clinical Text Analysis | Deep Learning | Machine Learning | Pharmacovigilance Artificial intelligence-powered pharmacovigilance: A review of machine and deep learning in clinical text-based adverse drug event detection for benchmark datasets. March 6, 2024
Artificial Intelligence | NLP | Pharmacovigilance A holistic AI-based approach for pharmacovigilance optimization from patients behavior on social media. October 2, 2023
Clinical Informatics | Machine Learning | Pharmacology Generalizability of machine learning methods in detecting adverse drug events from clinical narratives in electronic medical records. July 28, 2023
Clinical Informatics | Data Science | Pharmacology Machine-learning-based adverse drug event prediction from observational health data: a review. July 19, 2023
Clinical Pharmacology | Medical Informatics DKADE: a novel framework based on deep learning and knowledge graph for identifying adverse drug events and related medications. June 21, 2023
Clinical Predictive Modeling | Internal Medicine | Pharmacology Using machine learning to develop a clinical prediction model for SSRI-associated bleeding: a feasibility study. June 10, 2023
Biomedical Literature Analysis | Pharmacovigilance LiSA: an assisted literature search pipeline for detecting serious adverse drug events with deep learning. December 22, 2022
Natural Language Processing | Pharmacovigilance Increasing adverse drug events extraction robustness on social media: Case study on negation and speculation. October 31, 2022
Machine Learning | Pharmacology | Public Health Utilizing Deep Learning for Detecting Adverse Drug Events in Structured and Unstructured Regulatory Drug Data Sets. July 24, 2022
Artificial Intelligence | Pharmacovigilance | Telehealth Intelligent Telehealth in Pharmacovigilance: A Future Perspective. May 17, 2022
Epidemiology | Medical Informatics | Public Health Monitoring user opinions and side effects on COVID-19 vaccines in the Twittersphere: Infodemiology Study of Tweets. April 21, 2022