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Participant recruitment based on unstructured medical texts such as clinical notes and radiology reports has been a challenging yet important task for the cohort establishment in clinical research.
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Serguei V Pakhomov, James Buntrock, and Christopher G Chute · 2005
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Automated categorisation of clinical incident reports using statistical text classification
Mei-Sing Ong, Farah Magrabi, and Enrico Coiera · 2010
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Comparing semi-automatic systems for recruitment of patients to clinical trials
Marc Cuggia, Paolo Besana, and David Glasspool · 2011
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Charu C Aggarwal and ChengXiang Zhai · 2012
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Clinical trial discussion, referral, and recruitment: physician, patient, and system factors
Celia P Kaplan, Anna Maria Nápoles, Daniel Dohan, E Shelley Hwang, Michelle Melisko, Dana Nickleach, Jessica Ann Quinn, and Jennifer Haas · 2013
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Employing computers for the recruitment into clinical trials: a comprehensive systematic review
Felix Köpcke and Hans-Ulrich Prokosch · 2014
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Barriers and facilitators to patient recruitment to a cluster randomized controlled trial in primary care: lessons for future trials
Juliet M Foster, Susan M Sawyer, Lorraine Smith, Helen K Reddel, and Tim Usherwood · 2015
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Randomized controlled trials–a matter of design
Peter Markus Spieth, Anne Sophie Kubasch, Ana Isabel Penzlin, Ben Min-Woo Illigens, Kristian Barlinn, and Timo Siepmann · 2016
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John Schulman, Nicolas Heess, Theophane Weber, and Pieter Abbeel · 2016
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Preparing a collection of radiology examinations for distribution and retrieval
Dina Demner-Fushman, Marc D Kohli, Marc B Rosenman, Sonya E Shooshan, Laritza Rodriguez, Sameer Antani, George R Thoma, and Clement J McDonald · 2016
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Survey on recurrent neural network in natural language processing
Kanchan M Tarwani and Swathi Edem · 2017
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Glue: A multi-task benchmark and analysis platform for natural language understanding
Alex Wang, Amanpreet Singh, Julian Michael, Felix Hill, Omer Levy, and Samuel R Bowman · 2018
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Semehr: A general-purpose semantic search system to surface semantic data from clinical notes for tailored care, trial recruitment, and clinical research
Honghan Wu, Giulia Toti, Katherine I Morley, Zina M Ibrahim, Amos Folarin, Richard Jackson, Ismail Kartoglu, Asha Agrawal, Clive Stringer, Darren Gale, et al · 2018
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2018
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A review of the impact of utilising electronic medical records for clinical research recruitment
Yan See Lai and Janyne Dawn Afseth · 2019
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Artificial intelligence for clinical trial design
Stefan Harrer, Pratik Shah, Bhavna Antony, and Jianying Hu · 2019
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A machine learning “approach” to recruitment in oa
P Widera · 2019
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Clinicalbert: Modeling clinical notes and predicting hospital readmission
Kexin Huang, Jaan Altosaar, and Rajesh Ranganath · 2019
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Big data and machine learning algorithms for health-care delivery
Kee Yuan Ngiam and Wei Khor · 2019
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Mimic-cxr, a de-identified publicly available database of chest radiographs with free-text reports
Alistair EW Johnson, Tom J Pollard, Seth J Berkowitz, Nathaniel R Greenbaum, Matthew P Lungren, Chih-ying Deng, Roger G Mark, and Steven Horng · 2019
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Chexpert: A large chest radiograph dataset with uncertainty labels and expert comparison
Jeremy Irvin, Pranav Rajpurkar, Michael Ko, Yifan Yu, Silviana Ciurea-Ilcus, Chris Chute, Henrik Marklund, Behzad Haghgoo, Robyn Ball, Katie Shpanskaya, et al · 2019
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Cross-lingual language model pretraining
Guillaume Lample and Alexis Conneau · 2019
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Matching patients to clinical trials using semantically enriched document representation
Hamed Hassanzadeh, Sarvnaz Karimi, and Anthony Nguyen · 2020
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Biobert: a pre-trained biomedical language representation model for biomedical text mining
Jinhyuk Lee, Wonjin Yoon, Sungdong Kim, Donghyeon Kim, Sunkyu Kim, Chan Ho So, and Jaewoo Kang · 2020
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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
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When radiology report generation meets knowledge graph
Yixiao Zhang, Xiaosong Wang, Ziyue Xu, Qihang Yu, Alan Yuille, and Daguang Xu · 2020
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Survey on natural language processing in medical image analysis
Zhengliang Liu, Mengshen He, Zuowei Jiang, Zihao Wu, Haixing Dai, Lian Zhang, Siyi Luo, Tianle Han, Xiang Li, Xi Jiang, et al · 2022
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Large language models are few-shot clinical information extractors
Monica Agrawal, Stefan Hegselmann, Hunter Lang, Yoon Kim, and David Sontag · 2022
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Training language models to follow instructions with human feedback
Long Ouyang, Jeffrey Wu, Xu Jiang, Diogo Almeida, Carroll Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, et al · 2022
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The development of empathy in the healthcare setting: a qualitative approach
Chou Chuen Yu, Laurence Tan, Mai Khanh Le, Bernard Tang, Sok Ying Liaw, Tanya Tierney, Yun Ying Ho, Beng Eng Evelyn Lim, Daphne Lim, Reuben Ng, et al · 2022
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Language models are greedy reasoners: A systematic formal analysis of chain-of-thought
Abulhair Saparov and He He · 2022
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Prediction of readmission in geriatric patients from clinical notes: Retrospective text mining study
Kim Huat Goh, Le Wang, Adrian Yong Kwang Yeow, Yew Yoong Ding, Lydia Shu Yi Au, Hermione Mei Niang Poh, Ke Li, Joannas Jie Lin Yeow, and Gamaliel Yu Heng Tan · 2021
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Natural language processing and machine learning methods to characterize unstructured patient-reported outcomes: Validation study
Zhaohua Lu, Jin-Ah Sim, Jade X Wang, Christopher B Forrest, Kevin R Krull, Deokumar Srivastava, Melissa M Hudson, Leslie L Robison, Justin N Baker, and I-Chan Huang · 2021
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Transformer models for text-based emotion detection: a review of bert-based approaches
Francisca Adoma Acheampong, Henry Nunoo-Mensah, and Wenyu Chen · 2021
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Transformer-based named entity recognition for parsing clinical trial eligibility criteria
Shubo Tian, Arslan Erdengasileng, Xi Yang, Yi Guo, Yonghui Wu, Jinfeng Zhang, Jiang Bian, and Zhe He · 2021
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Improving the efficiency of clinical trial recruitment using an ensemble machine learning to assist with eligibility screening
Tianrun Cai, Fiona Cai, Kumar P Dahal, Gabrielle Cremone, Ethan Lam, Charlotte Golnik, Thany Seyok, Chuan Hong, Tianxi Cai, and Katherine P Liao · 2021
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Klmo: Knowledge graph enhanced pretrained language model with fine-grained relationships
Lei He, Suncong Zheng, Tao Yang, and Feng Zhang · 2021
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Enriching contextualized language model from knowledge graph for biomedical information extraction
Hao Fei, Yafeng Ren, Yue Zhang, Donghong Ji, and Xiaohui Liang · 2021
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Large language models are zero-shot reasoners
Takeshi Kojima, Shixiang Shane Gu, Machel Reid, Yutaka Matsuo, and Yusuke Iwasawa · 2022
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The role of artificial intelligence in hastening time to recruitment in clinical trials
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