2024
Artificial intelligence-powered pharmacovigilance: A review of machine and deep learning in clinical text-based adverse drug event detection for benchmark datasets
Li Y, Tao W, Li Z, Sun Z, Li F, Fenton S, Xu H, Tao C. Artificial intelligence-powered pharmacovigilance: A review of machine and deep learning in clinical text-based adverse drug event detection for benchmark datasets. Journal Of Biomedical Informatics 2024, 152: 104621. PMID: 38447600, DOI: 10.1016/j.jbi.2024.104621.Peer-Reviewed Original ResearchNamed-entity recognitionEnd-to-end tasksEnd-to-endMachine learningBenchmark datasetsAdverse drug event extractionNamed-entity recognition taskLearning modelsAdverse drug event detectionBidirectional Encoder RepresentationsDeep learning techniquesDeep learning methodsDeep learning modelsEffectiveness of machine learningDeep learning methodologyMachine learning modelsSocial media dataEncoder RepresentationsEvent detectionDeep learningLearning techniquesMultilayer perceptronLearning methodsMedia dataRC task
2023
Development of a Natural Language Processing Tool to Extract Acupuncture Point Location Terms
Li Y, Peng X, Li J, Peng S, Pei D, Tao C, Xu H, Hong N. Development of a Natural Language Processing Tool to Extract Acupuncture Point Location Terms. 2023, 00: 344-351. DOI: 10.1109/ichi57859.2023.00053.Peer-Reviewed Original ResearchAcupuncture point locationsNatural language processingRecurrent neural networkConditional random fieldWorld Health OrganizationWorld Health Organization standardsNatural language processing toolsEffect of acupuncture therapyLocation informationAcupuncture researchAcupuncture therapyAcupoint locationRecurrent neural network modelDictionary lookup methodNatural language processing modelsDeep learning techniquesAcupunctureLanguage processing toolsWestern Pacific RegionFree-text formatInternational anatomical terminologyHealth OrganizationF1 scoreInformatics applicationsNeural network