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The process of matching patients with suitable clinical trials is essential for advancing medical research and providing optimal care.
Patient-Treatment Matching: Rationale and Results
Mattson ME · 1994
Earlier work this paper cites.
EliXR: an approach to eligibility criteria extraction and representation
Weng C, Wu X, Luo Z, Boland MR, Theodoratos D, Johnson SB · 2011
Earlier work this paper cites.
The algorithmic foundations of differential privacy
Dwork C, Roth A, et al · 2014
Earlier work this paper cites.
Memory networks
Weston J, Chopra S, Bordes A · 2014
Earlier work this paper cites.
Adam: A method for stochastic optimization
Kingma DP, Ba J · 2014
Earlier work this paper cites.
Highway networks
Srivastava RK, Greff K, Schmidhuber J · 2015
Earlier work this paper cites.
Improving neural machine translation models with monolingual data
Sennrich R, Haddow B, Birch A · 2015
Earlier work this paper cites.
That’s so annoying!!!: A lexical and frame-semantic embedding based data augmentation approach to automatic categorization of annoying behaviors using# petpeeve tweets
Wang WY, Yang D · 2015
Earlier work this paper cites.
Clinical trials and their patients: the rising costs and how to stem the loss
Hargreaves B · 2016
Earlier work this paper cites.
MIMIC-III, a freely accessible critical care database
Johnson AE, Pollard TJ, Shen L, Lehman LwH, Feng M, Ghassemi M, et al · 2016
Earlier work this paper cites.
Counter-fitting word vectors to linguistic constraints
Mrkšić N, Séaghdha DO, Thomson B, Gašić M, Rojas-Barahona L, Su PH, et al · 2016
Earlier work this paper cites.
Drug Approval in a Learning Health System
Price W, Nicholson I · 2017
Earlier work this paper cites.
Promoting healthcare innovation on the demand side
Eisenberg RS, Price WN · 2017
Cited alongside, same era.
Differential privacy approach for big data privacy in healthcare
Moussa M, Demurjian SA · 2017
Cited alongside, same era.
Synthetic and natural noise both break neural machine translation
Belinkov Y, Bisk Y · 2017
Cited alongside, same era.
Big data and individual autonomy in a crowd
Evans B · 2018
Cited alongside, same era.
Bert: Pre-training of deep bidirectional transformers for language understanding
Devlin J, Chang MW, Lee K, Toutanova K · 2018
Cited alongside, same era.
End-to-end convolutional semantic embeddings
You Q, Zhang Z, Luo J · 2018
Cited alongside, same era.
Eda: Easy data augmentation techniques for boosting performance on text classification tasks
Wei J, Zou K · 2019
Later among the works it cites.
Criteria2Query: a natural language interface to clinical databases for cohort definition
Yuan C, Ryan PB, Ta C, Guo Y, Li Z, Hardin J, et al · 2019
Later among the works it cites.
Roberta: A robustly optimized bert pretraining approach
Liu Y, Ott M, Goyal N, Du J, Joshi M, Chen D, et al · 2019
Later among the works it cites.
Matching patients to clinical trials using semantically enriched document representation
Hassanzadeh H, Karimi S, Nguyen A · 2020
Later among the works it cites.
Evaluation of an artificial intelligence clinical trial matching system in Australian lung cancer patients
Alexander M, Solomon B, Ball DL, Sheerin M, Dankwa-Mullan I, Preininger AM, et al · 2020
Later among the works it cites.
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Contextual augmentation: Data augmentation by words with paradigmatic relations
Kobayashi S · 2018
Cited alongside, same era.
Learning eligibility in cancer clinical trials using deep neural networks
Bustos A, Pertusa A · 2018
Cited alongside, same era.
Adversarial over-sensitivity and over-stability strategies for dialogue models
Niu T, Bansal M · 2018
Cited alongside, same era.
Privacy in the age of medical big data
Price WN, Cohen IG · 2019
Cited alongside, same era.
Privacy-preserving generative deep neural networks support clinical data sharing
Beaulieu-Jones BK, Wu ZS, Williams C, Lee R, Bhavnani SP, Byrd JB, et al · 2019
Cited alongside, same era.
Publicly available clinical BERT embeddings
Alsentzer E, Murphy JR, Boag W, Weng WH, Jin D, Naumann T, et al · 2019
Cited alongside, same era.
Gao J, Xiao C, Glass LM, Sun J · 2020
Later among the works it cites.
DeepEnroll: patient-trial matching with deep embedding and entailment prediction
Zhang X, Xiao C, Glass LM, Sun J · 2020
Later among the works it cites.
Data augmentation using pre-trained transformer models
Kumar V, Choudhary A, Cho E · 2020
Later among the works it cites.
Artificial intelligence in managing clinical trial design and conduct: Man and machine still on the learning curve?
Bhatt A · 2021
Later among the works it cites.
DivAug: plug-in automated data augmentation with explicit diversity maximization
Liu Z, Jin H, Wang TH, Zhou K, Hu X · 2021
Later among the works it cites.
OpenAI. GPT-4 Technical Report; 2023
2023
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Does Synthetic Data Generation of LLMs Help Clinical Text Mining?
Tang R, Han X, Jiang X, Hu X · 2023
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