This paper is in the following e-collection/theme issue:

Information Retrieval (279) Epublishing and Open Access (82) Knowledge Translation and Implementation Science (393) Machine Learning (1434)

Published on in Vol 20, No 6 (2018): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/10281, first published .
A Deep Learning Method to Automatically Identify Reports of Scientifically Rigorous Clinical Research from the Biomedical Literature: Comparative Analytic Study

A Deep Learning Method to Automatically Identify Reports of Scientifically Rigorous Clinical Research from the Biomedical Literature: Comparative Analytic Study

A Deep Learning Method to Automatically Identify Reports of Scientifically Rigorous Clinical Research from the Biomedical Literature: Comparative Analytic Study

Authors of this article:

Guilherme Del Fiol1 Author Orcid Image ;   Matthew Michelson2, 3 Author Orcid Image ;   Alfonso Iorio4, 5 Author Orcid Image ;   Chris Cotoi6 Author Orcid Image ;   R Brian Haynes4, 5 Author Orcid Image
Article Authors Cited by (38) Tweetations (38) Metrics

Journals

  1. Toğaçar M, Ergen B, Cömert Z, Özyurt F. A Deep Feature Learning Model for Pneumonia Detection Applying a Combination of mRMR Feature Selection and Machine Learning Models. IRBM 2020;41(4):212 View
  2. Michelson M, Reuter K. The significant cost of systematic reviews and meta-analyses: A call for greater involvement of machine learning to assess the promise of clinical trials. Contemporary Clinical Trials Communications 2019;16:100443 View
  3. Milliken L, Motomarry S, Kulkarni A. ARtPM: Article Retrieval for Precision Medicine. Journal of Biomedical Informatics 2019;95:103224 View
  4. Varghese A, Agyeman-Badu G, Cawley M. Deep learning in automated text classification: a case study using toxicological abstracts. Environment Systems and Decisions 2020;40(4):465 View
  5. Afzal M, Park B, Hussain M, Lee S. Deep Learning Based Biomedical Literature Classification Using Criteria of Scientific Rigor. Electronics 2020;9(8):1253 View
  6. Li J, Bu Y, Lu S, Pang H, Luo C, Liu Y, Qian L. Development of a Deep Learning–Based Model for Diagnosing Breast Nodules With Ultrasound. Journal of Ultrasound in Medicine 2021;40(3):513 View
  7. Afzal M, Hussain M, Malik K, Lee S. Impact of Automatic Query Generation and Quality Recognition Using Deep Learning to Curate Evidence From Biomedical Literature: Empirical Study. JMIR Medical Informatics 2019;7(4):e13430 View
  8. Carvallo A, Parra D, Lobel H, Soto A. Automatic document screening of medical literature using word and text embeddings in an active learning setting. Scientometrics 2020;125(3):3047 View
  9. Bian J, Abdelrahman S, Shi J, Del Fiol G. Automatic identification of recent high impact clinical articles in PubMed to support clinical decision making using time-agnostic features. Journal of Biomedical Informatics 2019;89:1 View
  10. Tobore I, Li J, Yuhang L, Al-Handarish Y, Kandwal A, Nie Z, Wang L. Deep Learning Intervention for Health Care Challenges: Some Biomedical Domain Considerations. JMIR mHealth and uHealth 2019;7(8):e11966 View
  11. Afzal M, Alam F, Malik K, Malik G. Clinical Context–Aware Biomedical Text Summarization Using Deep Neural Network: Model Development and Validation. Journal of Medical Internet Research 2020;22(10):e19810 View
  12. Ambalavanan A, Devarakonda M. Using the contextual language model BERT for multi-criteria classification of scientific articles. Journal of Biomedical Informatics 2020;112:103578 View
  13. Renganathan V. Overview of Deep Learning Models in Biomedical Domain with the Help of R Statistical Software. Serbian Journal of Experimental and Clinical Research 2022;23(1):3 View
  14. Abdelkader W, Navarro T, Parrish R, Cotoi C, Germini F, Iorio A, Haynes R, Lokker C. Machine Learning Approaches to Retrieve High-Quality, Clinically Relevant Evidence From the Biomedical Literature: Systematic Review. JMIR Medical Informatics 2021;9(9):e30401 View
  15. Abdelkader W, Navarro T, Parrish R, Cotoi C, Germini F, Linkins L, Iorio A, Haynes R, Ananiadou S, Chu L, Lokker C. A Deep Learning Approach to Refine the Identification of High-Quality Clinical Research Articles From the Biomedical Literature: Protocol for Algorithm Development and Validation. JMIR Research Protocols 2021;10(11):e29398 View
  16. MacFarlane A, Russell-Rose T, Shokraneh F. Search strategy formulation for systematic reviews: Issues, challenges and opportunities. Intelligent Systems with Applications 2022;15:200091 View
  17. Selvaraj C, Chandra I, Singh S. Artificial intelligence and machine learning approaches for drug design: challenges and opportunities for the pharmaceutical industries. Molecular Diversity 2022;26(3):1893 View
  18. Bettin D, Maurer T, Schlatt F, Bettin S. The scientific publication score – a new tool for summarizing evidence and data quality criteria of biomedical publications. Journal of Bone and Joint Infection 2022;7(6):269 View
  19. Qin X, Zhu J, Tu Z, Ma Q, Tang J, Zhang C. Contrast-Enhanced Ultrasound with Deep Learning with Attention Mechanisms for Predicting Microvascular Invasion in Single Hepatocellular Carcinoma. Academic Radiology 2023;30:S73 View
  20. Šuster S, Baldwin T, Lau J, Jimeno Yepes A, Martinez Iraola D, Otmakhova Y, Verspoor K. Automating Quality Assessment of Medical Evidence in Systematic Reviews: Model Development and Validation Study. Journal of Medical Internet Research 2023;25:e35568 View
  21. Trivedi M, Gupta A. A lightweight deep learning architecture for the automatic detection of pneumonia using chest X-ray images. Multimedia Tools and Applications 2022;81(4):5515 View
  22. Røst T, Slaughter L, Nytrø Ø, Muller A, Vist G. Using neural networks to support high-quality evidence mapping. BMC Bioinformatics 2021;22(S11) View
  23. Stenzl A, Sternberg C, Ghith J, Serfass L, Schijvenaars B, Sboner A. Application of artificial intelligence to overcome clinical information overload in urological cancer. BJU International 2022;130(3):291 View
  24. Kim J, Kim J, Lee A, Kim J, Kejriwal M. Bat4RCT: A suite of benchmark data and baseline methods for text classification of randomized controlled trials. PLOS ONE 2023;18(3):e0283342 View
  25. Lokker C, Bagheri E, Abdelkader W, Parrish R, Afzal M, Navarro T, Cotoi C, Germini F, Linkins L, Haynes R, Chu L, Iorio A. Deep learning to refine the identification of high-quality clinical research articles from the biomedical literature: Performance evaluation. Journal of Biomedical Informatics 2023;142:104384 View
  26. Santos Á, da Silva E, Couto L, Reis G, Belo V. The use of artificial intelligence for automating or semi-automating biomedical literature analyses: A scoping review. Journal of Biomedical Informatics 2023;142:104389 View
  27. Bundi D. Adoption of machine learning systems within the health sector: a systematic review, synthesis and research agenda. Digital Transformation and Society 2024;3(1):99 View
  28. van Beuningen N, Alkema S, Hijlkema N, Ulfhake B, Frias R, Ritskes-Hoitinga M, Alkema W. The 3Ranker: An AI-based Algorithm for Finding Non-animal Alternative Methods. Alternatives to Laboratory Animals 2023;51(6):376 View
  29. Lokker C, McKibbon K, Afzal M, Navarro T, Linkins L, Haynes R, Iorio A. The McMaster Health Information Research Unit: Over a Quarter-Century of Health Informatics Supporting Evidence-Based Medicine. Journal of Medical Internet Research 2024;26:e58764 View
  30. Du J, Wang D. Accelerating Evidence Synthesis in Observational Studies: A Living NLP-Assisted Intelligent Systematic Literature Review System (Preprint). JMIR Medical Informatics 2023 View
  31. Schmallenbach L, Bärnighausen T, Lerchenmueller M. The global geography of artificial intelligence in life science research. Nature Communications 2024;15(1) View
  32. Lokker C, Abdelkader W, Bagheri E, Parrish R, Cotoi C, Navarro T, Germini F, Linkins L, Haynes R, Chu L, Afzal M, Iorio A, McGinnis R. Boosting efficiency in a clinical literature surveillance system with LightGBM. PLOS Digital Health 2024;3(9):e0000299 View

Books/Policy Documents

  1. Hersh W. Information Retrieval: A Biomedical and Health Perspective. View
  2. Jeba Priya S, Joshua Jaistein S, Naveen Sundar G, Raja Sundrapandiyanleebanon T. Smart Computing Techniques and Applications. View
  3. Del Fiol G, Yu H, Cimino J. Clinical Decision Support and Beyond. View
  4. Davies B, Kotter M. Degenerative Cervical Myelopathy. View