Published on in Vol 8, No 7 (2020): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17832, first published .
An Ensemble Learning Strategy for Eligibility Criteria Text Classification for Clinical Trial Recruitment: Algorithm Development and Validation

An Ensemble Learning Strategy for Eligibility Criteria Text Classification for Clinical Trial Recruitment: Algorithm Development and Validation

An Ensemble Learning Strategy for Eligibility Criteria Text Classification for Clinical Trial Recruitment: Algorithm Development and Validation

Authors of this article:

Kun Zeng1 Author Orcid Image ;   Zhiwei Pan1 Author Orcid Image ;   Yibin Xu2 Author Orcid Image ;   Yingying Qu3 Author Orcid Image

Journals

  1. Zong H, Yang J, Zhang Z, Li Z, Zhang X. Semantic categorization of Chinese eligibility criteria in clinical trials using machine learning methods. BMC Medical Informatics and Decision Making 2021;21(1) View
  2. Hao T, Huang Z, Liang L, Weng H, Tang B. Health Natural Language Processing: Methodology Development and Applications. JMIR Medical Informatics 2021;9(10):e23898 View
  3. Kang E, Ryu I, Lee G, Kim J, Lee I, Jeon G, Song H, Kamiya K, Yoo T. Development of a Web-Based Ensemble Machine Learning Application to Select the Optimal Size of Posterior Chamber Phakic Intraocular Lens. Translational Vision Science & Technology 2021;10(6):5 View
  4. Farmer N, Osei Baah F, Williams F, Ortiz-Chapparo E, Mitchell V, Jackson L, Collins B, Graham L, Wallen G, Powell-Wiley T, Johnson A. Use of a community advisory board to build equitable algorithms for participation in clinical trials: a protocol paper for HoPeNET. BMJ Health & Care Informatics 2022;29(1):e100453 View
  5. Bernstam E, Shireman P, Meric‐Bernstam F, N. Zozus M, Jiang X, Brimhall B, Windham A, Schmidt S, Visweswaran S, Ye Y, Goodrum H, Ling Y, Barapatre S, Becich M. Artificial intelligence in clinical and translational science: Successes, challenges and opportunities. Clinical and Translational Science 2022;15(2):309 View
  6. Wang S, Song F, Qiao Q, Liu Y, Chen J, Ma J. A Comparative Study of Natural Language Processing Algorithms Based on Cities Changing Diabetes Vulnerability Data. Healthcare 2022;10(6):1119 View
  7. Lin C, Nuha U. Sentiment analysis of Indonesian datasets based on a hybrid deep-learning strategy. Journal of Big Data 2023;10(1) View
  8. Chen J, Creamer G, Ning Y, Ben-Zvi T. Healthcare Sustainability: Hospitalization Rate Forecasting with Transfer Learning and Location-Aware News Analysis. Sustainability 2023;15(22):15840 View
  9. Ding Z, Jin R, Paik J, Jin G. Textual Classification on Multiple Domains by Weighted Fusion of Multiple Models. IEEE Access 2023;11:67825 View
  10. Datta S, Lee K, Paek H, Manion F, Ofoegbu N, Du J, Li Y, Huang L, Wang J, Lin B, Xu H, Wang X. AutoCriteria: a generalizable clinical trial eligibility criteria extraction system powered by large language models. Journal of the American Medical Informatics Association 2024;31(2):375 View
  11. Qin C, Wang Y, Ma X, Liu Y, Zhang J. A method of identifying domain-specific academic user information needs based on academic Q&A communities. The Electronic Library 2024;42(5):741 View
  12. Madanay F, Tu K, Campagna A, Davis J, Doerstling S, Chen F, Ubel P. Classification of Patients’ Judgments of Their Physicians in Web-Based Written Reviews Using Natural Language Processing: Algorithm Development and Validation. Journal of Medical Internet Research 2024;26:e50236 View