Azadeh Nikfarjam

Pharmacology, Toxicology and Pharmaceutics · Life Sciences

14h-index2.0kcitations31works1.32yr avg
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Research Topics

Pharmacovigilance and Adverse Drug Reactions(12), Biomedical Text Mining and Ontologies(9), Topic Modeling(7), Advanced Text Analysis Techniques(6), Natural Language Processing Techniques(4)

Publications31 total

ODKE+: Ontology-Guided Open-Domain Knowledge Extraction with LLMs
arXiv (Cornell University)·2025Open Access
APE: Active Learning-based Tooling for Finding Informative Few-shot Examples for LLM-based Entity Matching
arXiv (Cornell University)·2024Open Access
APE: Active Learning-based Tooling for Finding Informative Few-shot Examples for LLM-based Entity Matching
2024· 4 citedOpen Access
Open Domain Knowledge Extraction for Knowledge Graphs
arXiv (Cornell University)·2023Open Access
Profiling off-label prescriptions in cancer treatment using social health networks
JAMIA Open·2019· 4 citedOpen Access
The Emotional Toll of Inflammatory Bowel Disease: Using Machine Learning to Analyze Online Community Forum Discourse
Crohn s & Colitis 360·2019· 10 citedOpen Access
Early Detection of Adverse Drug Reactions in Social Health Networks: A Natural Language Processing Pipeline for Signal Detection
JMIR Public Health and Surveillance·2019· 40 citedOpen Access
Comment on: “Deep learning for pharmacovigilance: recurrent neural network architectures for labeling adverse drug reactions in Twitter posts”
Journal of the American Medical Informatics Association·2019· 12 citedOpen Access
Early Detection of Adverse Drug Reactions in Social Health Networks: A Natural Language Processing Pipeline for Signal Detection (Preprint)
2018· 1 citedOpen Access
248 Early detection of chemotherapeutic skin toxicities in social health networks using deep learning
Journal of Investigative Dermatology·2018· 2 cited
Detecting Chemotherapeutic Skin Adverse Reactions in Social Health Networks Using Deep Learning
JAMA Oncology·2018· 16 citedOpen Access
Hybrid Semantic Analysis for Mapping Adverse Drug Reaction Mentions in Tweets to Medical Terminology.
PubMed·2017· 15 citedOpen Access
Analysis of the effect of sentiment analysis on extracting adverse drug reactions from tweets and forum posts
Journal of Biomedical Informatics·2016· 177 citedOpen Access
Health Information Extraction from Social Media
2016· 3 cited
SOCIAL MEDIA MINING SHARED TASK WORKSHOP
2015· 57 citedOpen Access
SOCIAL MEDIA MINING FOR PUBLIC HEALTH MONITORING AND SURVEILLANCE
2015· 140 citedOpen Access
Pharmacovigilance from social media: mining adverse drug reaction mentions using sequence labeling with word embedding cluster features
Journal of the American Medical Informatics Association·2015· 548 citedOpen Access
Utilizing social media data for pharmacovigilance: A review
Journal of Biomedical Informatics·2015· 504 citedOpen Access
DIEGOLab: An Approach for Message-level Sentiment Classification in Twitter
2015· 7 citedOpen Access
Unsupervised gene function extraction using semantic vectors
Database·2014· 3 citedOpen Access
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Frequent Co-authors

Graciela Gonzalez‐Hernandez(15), Abeed Sarker(8), Ehsan Emadzadeh(8), Julia D. Ransohoff(5), Nigam H. Shah(5), Rachel Ginn(4), Bernice Y. Kwong(4), Kavita Y. Sarin(4), Yisi Sang(4), Yash Govind(4), Samira Khorshidi(4), Xiaoguang Qi(4), Karen O’Connor(3), Karen L. Smith(3), Saravanan Muthaiyah(3), Alison Callahan(3), Erik Jones(3), Brian Loew(3), Anton Belyi(3), Rahul Khot(3)