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Clinical trials are pivotal in medical research, and NLP can enhance their success, with application in recruitment.
Publicly available clinical bert embeddings
Emily Alsentzer, John R Murphy, Willie Boag, Wei-Hung Weng, Di Jin, Tristan Naumann, and Matthew McDermott. 2019 · 1904
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The unified medical language system (umls) of the national library of medicine
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Cancer in older adolescents and young adults: epidemiology, diagnosis, treatment, survival, and importance of clinical trials
W Archie Bleyer. 2002 · 2002
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Information extraction of clinical trial eligibility criteria
Yitong Tseo, MI Salkola, Ahmed Mohamed, Anuj Kumar, and Freddy Abnousi. 2020 · 2006
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Interpreting the clinical importance of treatment outcomes in chronic pain clinical trials: Immpact recommendations
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Elixr: an approach to eligibility criteria extraction and representation
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The clinicaltrials. gov results database—update and key issues
Deborah A Zarin, Tony Tse, Rebecca J Williams, Robert M Califf, and Nicholas C Ide. 2011 · 2011
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Effort required in eligibility screening for clinical trials
Lynne T Penberthy, Bassam A Dahman, Valentina I Petkov, and Jonathan P DeShazo. 2012 · 2012
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Initial readability assessment of clinical trial eligibility criteria
Tian Kang, Noémie Elhadad, and Chunhua Weng. 2015 · 2015
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Medical text classification using convolutional neural networks
Mark Hughes, Irene Li, Spyros Kotoulas, and Toyotaro Suzumura. 2017 · 2017
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Eliie: An open-source information extraction system for clinical trial eligibility criteria
Tian Kang, Shaodian Zhang, Youlan Tang, Gregory W Hruby, Alexander Rusanov, Noémie Elhadad, and Chunhua Weng. 2017 · 2017
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Automated classification of eligibility criteria in clinical trials to facilitate patient-trial matching for specific patient populations
Kevin Zhang and Dina Demner-Fushman. 2017 · 2017
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Clinical text classification with word embedding features vs. bag-of-words features
Yijun Shao, Stephanie Taylor, Nell Marshall, Craig Morioka, and Qing Zeng-Treitler. 2018 · 2018
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Dquest: dynamic questionnaire for search of clinical trials
Cong Liu, Chi Yuan, Alex M Butler, Richard D Carvajal, Ziran Ryan Li, Casey N Ta, and Chunhua Weng. 2019 · 2019
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A clinical text classification paradigm using weak supervision and deep representation
Yanshan Wang, Sunghwan Sohn, Sijia Liu, Feichen Shen, Liwei Wang, Elizabeth J Atkinson, Shreyasee Amin, and Hongfang Liu. 2019 · 2019
Clinical trial information extraction with bert
Xiong Liu, Greg L Hersch, Iya Khalil, and Murthy Devarakonda. 2021b · 2021
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The leaf clinical trials corpus: a new resource for query generation from clinical trial eligibility criteria
Nicholas J Dobbins, Tony Mullen, Özlem Uzuner, and Meliha Yetisgen. 2022 · 2022
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Overview of the trec 2022 clinical trials track
Kirk Roberts, Dina Demner-Fushman, Ellen M Voorhees, Steven Bedrick, and Willian R Hersh. 2022 · 2022
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Medical research volunteers: Clinical trial day statistics
Antidote Medical Research. 2023 · 2023
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Cohortgpt: An enhanced gpt for participant recruitment in clinical study
Zihan Guan, Zihao Wu, Zhengliang Liu, Dufan Wu, Hui Ren, Quanzheng Li, Xiang Li, and Ninghao Liu. 2023 · 2023
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alphaXiv searches the wider corpus for related work and actual follow-ups.
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Criteria2query: a natural language interface to clinical databases for cohort definition
Chi Yuan, Patrick B Ryan, Casey Ta, Yixuan Guo, Ziran Li, Jill Hardin, Rupa Makadia, Peng Jin, Ning Shang, Tian Kang, et al. 2019 · 2019
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Recruitment and retention of participants in clinical studies: Critical issues and challenges
Mira Desai. 2020 · 2020
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Chia, a large annotated corpus of clinical trial eligibility criteria
Fabrício Kury, Alex Butler, Chi Yuan, Li-heng Fu, Yingcheng Sun, Hao Liu, Ida Sim, Simona Carini, and Chunhua Weng. 2020 · 2020
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Association of industry sponsorship with cancer clinical trial accrual
Dario Pasalic, Chad Tang, Reshma Jagsi, C David Fuller, Albert C Koong, and Ethan B Ludmir. 2020 · 2020
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An ensemble learning strategy for eligibility criteria text classification for clinical trial recruitment: algorithm development and validation
Kun Zeng, Zhiwei Pan, Yibin Xu, and Yingying Qu. 2020 · 2020
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Bigram feature extraction and conditional random fields model to improve text classification clinical trial document
Jasmir Jasmir, Siti Nurmaini, Reza Firsandaya Malik, and Bambang Tutuko. 2021a
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Fine-grained algorithm for improving knn computational performance on clinical trials text classification
Jasmir Jasmir, Siti Nurmaini, and Bambang Tutuko. 2021b
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Aliyah R Hsu, Yeshwanth Cherapanamjeri, Briton Park, Tristan Naumann, Anobel Y Odisho, and Bin Yu. 2023 · 2023
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Principal investigators’ perceptions on factors associated with successful recruitment in clinical trials
Betina Idnay, Alex Butler, Yilu Fang, Ziran Li, Junghwan Lee, Casey Ta, Cong Liu, Brenda Ruotolo, Chi Yuan, Huanyao Chen, et al. 2023 · 2023
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Matching patients to clinical trials with large language models
Qiao Jin, Zifeng Wang, Charalampos S Floudas, Jimeng Sun, and Zhiyong Lu. 2023 · 2023
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Exclusion of patients with autoimmune disease in lung cancer clinical trials
Shamsher S Khan and Takefumi Komiya. 2023 · 2023
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Text classification of cancer clinical trial eligibility criteria
Yumeng Yang, Soumya Jayaraj, Ethan Ludmir, and Kirk Roberts. 2023 · 2023
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