Fetching the paper…
Reading the bibliography…
Timely and accurate extraction of Adverse Drug Events (ADE) from biomedical literature is paramount for public safety, but involves slow and costly manual labor.
Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al. 2020 · 1901
Earlier work this paper cites.
Pubmedqa: A dataset for biomedical research question answering
Qiao Jin, Bhuwan Dhingra, Zhengping Liu, William W Cohen, and Xinghua Lu. 2019 · 1909
Earlier work this paper cites.
Pubmed parser: A python parser for pubmed open-access xml subset and medline xml dataset xml dataset
Titipat Achakulvisut, Daniel Acuna, and Konrad Kording. 2020 · 1979
Earlier work this paper cites.
Evidence-based medicine
David L Sackett. 1997 · 1997
Earlier work this paper cites.
The medical dictionary for regulatory activities (meddra)
Elliot G Brown, Louise Wood, and Sue Wood. 1999 · 1999
Earlier work this paper cites.
Medical subject headings (mesh)
Carolyn E Lipscomb. 2000 · 2000
Earlier work this paper cites.
Large-scale combining signals from both biomedical literature and the fda adverse event reporting system (faers) to improve post-marketing drug safety signal detection
Rong Xu and QuanQiu Wang. 2014 · 2014
Earlier work this paper cites.
A curated and standardized adverse drug event resource to accelerate drug safety research
Juan M Banda, Lee Evans, Rami S Vanguri, Nicholas P Tatonetti, Patrick B Ryan, and Nigam H Shah. 2016 · 2016
Earlier work this paper cites.
Openfda: an innovative platform providing access to a wealth of fda’s publicly available data
Taha A Kass-Hout, Zhiheng Xu, Matthew Mohebbi, Hans Nelsen, Adam Baker, Jonathan Levine, Elaine Johanson, and Roselie A Bright. 2016 · 2016
Earlier work this paper cites.
Extracting pico sentences from clinical trial reports using supervised distant supervision
Byron C Wallace, Joël Kuiper, Aakash Sharma, Mingxi Zhu, and Iain J Marshall. 2016 · 2016
Earlier work this paper cites.
Empirical estimation of under-reporting in the us food and drug administration adverse event reporting system (faers)
Yasser M Alatawi and Richard A Hansen. 2017 · 2017
Earlier work this paper cites.
Overview of the tac 2017 adverse reaction extraction from drug labels track
Kirk Roberts, Dina Demner-Fushman, and Joseph M Tonning. 2017 · 2017
Earlier work this paper cites.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017
Earlier work this paper cites.
Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018 · 2018
Cited alongside, same era.
An historical overview over Pharmacovigilance
Giulia Fornasier, Sara Francescon, Roberto Leone, and Paolo Baldo. 2018 · 2018
Cited alongside, same era.
A corpus with multi-level annotations of patients, interventions and outcomes to support language processing for medical literature
Benjamin Nye, Junyi Jessy Li, Roma Patel, Yinfei Yang, Iain J Marshall, Ani Nenkova, and Byron C Wallace. 2018 · 2018
Cited alongside, same era.
Adafactor: Adaptive learning rates with sublinear memory cost
Noam Shazeer and Mitchell Stern. 2018 · 2018
Cited alongside, same era.
Artificial intelligence for drug toxicity and safety
Anna O Basile, Alexandre Yahi, and Nicholas P Tatonetti. 2019 · 2019
Cited alongside, same era.
More extreme duplication in FDA adverse event reporting system detected by literature reference normalization and fuzzy string matching
Eric Hung, Manfred Hauben, Henry Essex, Chen Zou, and Steve Bright. 2022 · 2022
Later among the works it cites.
A standardized dataset of a spontaneous adverse event reporting system
Mohammad Ali Khaleel, Amer Hayat Khan, Siti Maisharah Sheikh Ghadzi, Azreen Syazril Adnan, and Qasem M Abdallah. 2022 · 2022
Later among the works it cites.
Demonstrate-search-predict: Composing retrieval and language models for knowledge-intensive nlp
Omar Khattab, Keshav Santhanam, Xiang Lisa Li, David Hall, Percy Liang, Christopher Potts, and Matei Zaharia. 2022 · 2022
Later among the works it cites.
Increased confidence in deduplication of drug safety reports with natural language processing of narratives at the us food and drug administration
Kory Kreimeyer, Oanh Dang, Jonathan Spiker, Paula Gish, Jessica Weintraub, Eileen Wu, Robert Ball, and Taxiarchis Botsis. 2022 · 2022
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Pretraining to recognize pico elements from randomized controlled trial literature
Tian Kang, Shirui Zou, and Chunhua Weng. 2019 · 2019
Cited alongside, same era.
Language models are unsupervised multitask learners
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, Ilya Sutskever, et al. 2019 · 2019
Cited alongside, same era.
Exploring the limits of transfer learning with a unified text-to-text transformer
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J Liu. 2020 · 2020
Cited alongside, same era.
Adversarial attacks on deep-learning models in natural language processing: A survey
Wei Emma Zhang, Quan Z Sheng, Ahoud Alhazmi, and Chenliang Li. 2020 · 2020
Cited alongside, same era.
On the dangers of stochastic parrots: Can language models be too big?
Emily M Bender, Timnit Gebru, Angelina McMillan-Major, and Shmargaret Shmitchell. 2021 · 2021
Cited alongside, same era.
More extreme duplication in the us fda faers database and a suggested check point for disproportionality analysis
Manfred Hauben, Chen Zou, Steve Bright, and Eric Hung. 2021 · 2021
Cited alongside, same era.
Scaling instruction-finetuned language models
Hyung Won Chung, Le Hou, Shayne Longpre, Barret Zoph, Yi Tay, William Fedus, Eric Li, Xuezhi Wang, Mostafa Dehghani, Siddhartha Brahma, et al. 2022 · 2022
Cited alongside, same era.
Renqian Luo, Liai Sun, Yingce Xia, Tao Qin, Sheng Zhang, Hoifung Poon, and Tie-Yan Liu. 2022 · 2022
Later among the works it cites.
Large language models encode clinical knowledge
Karan Singhal, Shekoofeh Azizi, Tao Tu, S Sara Mahdavi, Jason Wei, Hyung Won Chung, Nathan Scales, Ajay Tanwani, Heather Cole-Lewis, Stephen Pfohl, et al. 2022 · 2022
Later among the works it cites.
Linkbert: Pretraining language models with document links
Michihiro Yasunaga, Jure Leskovec, and Percy Liang. 2022 · 2022
Later among the works it cites.
Zhengyun Zhao, Qiao Jin, and Sheng Yu. 2022 · 2022
Later among the works it cites.
FDA AEs reporting system (FAERS) public dashboard
Food and Drug Administration. 2017 · 2023
Closest in time.
PMC Open Access Subset
NLM. 2003 · 2023
Closest in time.
Medline
NLM. 2021 · 2023
Closest in time.
Capabilities of gpt-4 on medical challenge problems
Harsha Nori, Nicholas King, Scott Mayer McKinney, Dean Carignan, and Eric Horvitz. 2023 · 2023
Closest in time.