Published on in Vol 3, No 2 (2017): Apr-Jun
Journals
- Dreisbach C, Koleck T, Bourne P, Bakken S. A systematic review of natural language processing and text mining of symptoms from electronic patient-authored text data. International Journal of Medical Informatics 2019;125:37 View
- Guetterman T, Chang T, DeJonckheere M, Basu T, Scruggs E, Vydiswaran V. Augmenting Qualitative Text Analysis with Natural Language Processing: Methodological Study. Journal of Medical Internet Research 2018;20(6):e231 View
- Zhang P, Wu H, Chiang C, Wang L, Binkheder S, Wang X, Zeng D, Quinney S, Li L. Translational Biomedical Informatics and Pharmacometrics Approaches in the Drug Interactions Research. CPT: Pharmacometrics & Systems Pharmacology 2018;7(2):90 View
- Zhang T, Lin H, Ren Y, Yang L, Xu B, Yang Z, Wang J, Zhang Y. Adverse drug reaction detection via a multihop self-attention mechanism. BMC Bioinformatics 2019;20(1) View
- Correia R, Wood I, Bollen J, Rocha L. Mining Social Media Data for Biomedical Signals and Health-Related Behavior. Annual Review of Biomedical Data Science 2020;3(1):433 View
- Li Z, Yang Z, Luo L, Xiang Y, Lin H. Exploiting adversarial transfer learning for adverse drug reaction detection from texts. Journal of Biomedical Informatics 2020;106:103431 View
- Dietrich J, Gattepaille L, Grum B, Jiri L, Lerch M, Sartori D, Wisniewski A. Adverse Events in Twitter-Development of a Benchmark Reference Dataset: Results from IMI WEB-RADR. Drug Safety 2020;43(5):467 View
- Lou J, Zhang Y. Semantic change analysis of Korean verbs based on massive culture corpus data. Personal and Ubiquitous Computing 2020;24(1):115 View
- Pappa D, Stergioulas L. Harnessing social media data for pharmacovigilance: a review of current state of the art, challenges and future directions. International Journal of Data Science and Analytics 2019;8(2):113 View
- Gattepaille L, Hedfors Vidlin S, Bergvall T, Pierce C, Ellenius J. Prospective Evaluation of Adverse Event Recognition Systems in Twitter: Results from the Web-RADR Project. Drug Safety 2020;43(8):797 View
- Pérez-Pérez M, Pérez-Rodríguez G, Fdez-Riverola F, Lourenço A. Collaborative relation annotation and quality analysis in Markyt environment. Database 2017;2017 View
- Alimova I, Tutubalina E. Entity-Level Classification of Adverse Drug Reaction: A Comparative Analysis of Neural Network Models. Programming and Computer Software 2019;45(8):439 View
- Walsh J, Cave J, Griffiths F. Spontaneously Generated Online Patient Experience of Modafinil: A Qualitative and NLP Analysis. Frontiers in Digital Health 2021;3 View
- Tutubalina E, Alimova I, Miftahutdinov Z, Sakhovskiy A, Malykh V, Nikolenko S, Wren J. The Russian Drug Reaction Corpus and neural models for drug reactions and effectiveness detection in user reviews. Bioinformatics 2021;37(2):243 View
- Kang K, Tian S, Yu L. Named entity recognition of local adverse drug reactions in Xinjiang based on transfer learning. Journal of Intelligent & Fuzzy Systems 2021;40(5):8899 View
- Zhang T, Lin H, Ren Y, Yang Z, Wang J, Duan X, Xu B. Identifying adverse drug reaction entities from social media with adversarial transfer learning model. Neurocomputing 2021;453:254 View
- Hussain S, Afzal H, Saeed R, Iltaf N, Umair M, Sari M. Pharmacovigilance with Transformers: A Framework to Detect Adverse Drug Reactions Using BERT Fine-Tuned with FARM. Computational and Mathematical Methods in Medicine 2021;2021:1 View
- Scaboro S, Portelli B, Chersoni E, Santus E, Serra G. Increasing adverse drug events extraction robustness on social media: Case study on negation and speculation. Experimental Biology and Medicine 2022;247(22):2003 View
- Weissenbacher D, O’Connor K, Rawal S, Zhang Y, Tsai R, Miller T, Xu D, Anderson C, Liu B, Han Q, Zhang J, Kulev I, Köprü B, Rodriguez-Esteban R, Ozkirimli E, Ayach A, Roller R, Piccolo S, Han P, Vydiswaran V, Tekumalla R, Banda J, Bagherzadeh P, Bergler S, Silva J, Almeida T, Martinez P, Rivera-Zavala R, Wang C, Dai H, Alberto Robles Hernandez L, Gonzalez-Hernandez G. Automatic Extraction of Medication Mentions from Tweets—Overview of the BioCreative VII Shared Task 3 Competition. Database 2023;2023 View
- Zhang T, Lin H, Xu B, Yang L, Wang J, Duan X. Adversarial neural network with sentiment-aware attention for detecting adverse drug reactions. Journal of Biomedical Informatics 2021;123:103896 View
- Sboev A, Sboeva S, Moloshnikov I, Gryaznov A, Rybka R, Naumov A, Selivanov A, Rylkov G, Ilyin V. Analysis of the Full-Size Russian Corpus of Internet Drug Reviews with Complex NER Labeling Using Deep Learning Neural Networks and Language Models. Applied Sciences 2022;12(1):491 View
- Tan H, Teo C, Ang P, Loke W, Tham M, Tan S, Soh B, Foo P, Ling Z, Yip W, Tang Y, Yang J, Tung K, Dorajoo S. Combining Machine Learning with a Rule-Based Algorithm to Detect and Identify Related Entities of Documented Adverse Drug Reactions on Hospital Discharge Summaries. Drug Safety 2022;45(8):853 View
- Sboev A, Rybka R, Selivanov A, Moloshnikov I, Gryaznov A, Naumov A, Sboeva S, Rylkov G, Zakirova S. Accuracy Analysis of the End-to-End Extraction of Related Named Entities from Russian Drug Review Texts by Modern Approaches Validated on English Biomedical Corpora. Mathematics 2023;11(2):354 View
- Wang X, Wang X, Zhang S. Adverse Drug Reaction Detection From Social Media Based on Quantum Bi-LSTM With Attention. IEEE Access 2023;11:16194 View
- Tao D, Zhang D, Hu R, Rundensteiner E, Feng H. Crowdsourcing and machine learning approaches for extracting entities indicating potential foodborne outbreaks from social media. Scientific Reports 2021;11(1) View
- Mredula M, Dey N, Rahman M, Mahmud I, Cho Y. A Review on the Trends in Event Detection by Analyzing Social Media Platforms’ Data. Sensors 2022;22(12):4531 View
- Kaas‐Hansen B, Placido D, Rodríguez C, Thorsen‐Meyer H, Gentile S, Nielsen A, Brunak S, Jürgens G, Andersen S. Language‐agnostic pharmacovigilant text mining to elicit side effects from clinical notes and hospital medication records. Basic & Clinical Pharmacology & Toxicology 2022;131(4):282 View
- Karapetian K, Jeon S, Kwon J, Suh Y. Supervised Relation Extraction Between Suicide-Related Entities and Drugs: Development and Usability Study of an Annotated PubMed Corpus. Journal of Medical Internet Research 2023;25:e41100 View
- Wu H, Wang M, Wu J, Francis F, Chang Y, Shavick A, Dong H, Poon M, Fitzpatrick N, Levine A, Slater L, Handy A, Karwath A, Gkoutos G, Chelala C, Shah A, Stewart R, Collier N, Alex B, Whiteley W, Sudlow C, Roberts A, Dobson R. A survey on clinical natural language processing in the United Kingdom from 2007 to 2022. npj Digital Medicine 2022;5(1) View
- Zhang Y, Lee J, Han J, Tsai R. Task reformulation and data-centric approach for Twitter medication name extraction. Database 2022;2022 View
- He K, Mao R, Gong T, Cambria E, Li C. JCBIE: a joint continual learning neural network for biomedical information extraction. BMC Bioinformatics 2022;23(1) View
- Trajanov D, Trajkovski V, Dimitrieva M, Dobreva J, Jovanovik M, Klemen M, Žagar A, Robnik-Šikonja M, Khoshbouei H. Review of Natural Language Processing in Pharmacology. Pharmacological Reviews 2023;75(4):714 View
- Sakhovskiy A, Tutubalina E. Cross-Lingual Transfer Learning in Drug-Related Information Extraction from User-Generated Texts. Programming and Computer Software 2023;49(7):590 View
- Schmidt L, Mohamed S, Meader N, Bacardit J, Craig D. Automated data analysis of unstructured grey literature in health research: A mapping review. Research Synthesis Methods 2024;15(2):178 View
- Remy F, Demuynck K, Demeester T. BioLORD-2023: semantic textual representations fusing large language models and clinical knowledge graph insights. Journal of the American Medical Informatics Association 2024;31(9):1844 View
- Nerella S, Bandyopadhyay S, Zhang J, Contreras M, Siegel S, Bumin A, Silva B, Sena J, Shickel B, Bihorac A, Khezeli K, Rashidi P. Transformers and large language models in healthcare: A review. Artificial Intelligence in Medicine 2024;154:102900 View
Books/Policy Documents
- Alimova I, Solovyev V. Artificial Intelligence and Natural Language. View
- Arguello-Casteleiro M, Jones P, Robertson S, Irvine R, Twomey F, Nenadic G. Artificial Intelligence XXXVI. View
- Gupta S, Gupta M, Varma V, Pawar S, Ramrakhiyani N, Palshikar G. Advances in Information Retrieval. View
- Gupta S, Gupta M, Varma V, Pawar S, Ramrakhiyani N, Palshikar G. Advances in Information Retrieval. View
- Wang X, Huang W, Zhang S. Intelligent Computing Theories and Application. View
- Gao Y, Ji S, Zhang T, Tiwari P, Marttinen P. Machine Learning and Knowledge Discovery in Databases. View
- Qiu Y, Zhang X, Wang W, Zhang T, Xu B, Lin H. Natural Language Processing and Chinese Computing. View
- Xu H, Demner Fushman D, Hong N, Raja K. Natural Language Processing in Biomedicine. View