Natural Language Processing for EHR-Based Pharmacovigilance: A Structured Review

By Yuan Luo, W. Thompson, T. M. Herr, Zexian Zeng, M. Berendsen, Siddhartha R. Jonnalagadda, M. Carson, Justin B. Starren. 2017

174 citations recorded by the source corpus.

Subfields: Infectious Diseases, Molecular Biology, Toxicology

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Q. Zheng
2. B. Shi
3. H. Yin
4. Zijin Wang
5. Jiayi Yin
6. Shengxuan Ding
7. Dongdong Wang
8. Renjie Yang

Citations in the corpus

• ChatGPT for shaping the future of dentistry: the potential of multi-modal large language model (2023, background): “This capability of NLR can assist dental practitioners more efficiently in establishing treatment plans tailored to patients’ backgrounds.(70) For instance, NLR algorithms can examine adverse drug reaction (ADR) patterns linked to various dental procedures and drugs.”