Published on in Vol 9, No 9 (2021): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/30401, first published .
Machine Learning Approaches to Retrieve High-Quality, Clinically Relevant Evidence From the Biomedical Literature: Systematic Review

Machine Learning Approaches to Retrieve High-Quality, Clinically Relevant Evidence From the Biomedical Literature: Systematic Review

Machine Learning Approaches to Retrieve High-Quality, Clinically Relevant Evidence From the Biomedical Literature: Systematic Review

Journals

  1. Monteiro J, Morine M, Ued F, Kaput J. Identifying and Analyzing Topic Clusters in a Nutri-, Food-, and Diet-Proteomic Corpus Using Machine Reading. Nutrients 2023;15(2):270 View
  2. Yang X, Mu D, Peng H, Li H, Wang Y, Wang P, Wang Y, Han S. Research and Application of Artificial Intelligence Based on Electronic Health Records of Patients With Cancer: Systematic Review. JMIR Medical Informatics 2022;10(4):e33799 View
  3. Weimer K, Buschhart C, Broelz E, Enck P, Horing B. Bibliometric Properties of Placebo Literature From the JIPS Database: A Descriptive Study. Frontiers in Psychiatry 2022;13 View
  4. 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
  5. Sousa D, Couto F, Wren J. K-RET: knowledgeable biomedical relation extraction system. Bioinformatics 2023;39(4) View
  6. 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
  7. Hocking L, Parkinson S, Adams A, Molding Nielsen E, Ang C, de Carvalho Gomes H. Overcoming the challenges of using automated technologies for public health evidence synthesis. Eurosurveillance 2023;28(45) View
  8. Mehrabanian M, Eskandari-Yaghbastlo A. The role of AI in advancing evidence-based dentistry. Dental Update 2024;51(1):66 View
  9. Sivarajkumar S, Kelley M, Samolyk-Mazzanti A, Visweswaran S, Wang Y. An Empirical Evaluation of Prompting Strategies for Large Language Models in Zero-Shot Clinical Natural Language Processing: Algorithm Development and Validation Study. JMIR Medical Informatics 2024;12:e55318 View
  10. Tóth B, Berek L, Gulácsi L, Péntek M, Zrubka Z. Automation of systematic reviews of biomedical literature: a scoping review of studies indexed in PubMed. Systematic Reviews 2024;13(1) View

Books/Policy Documents

  1. Qi C, Yilmaz E, Chen Q. Machine Learning Applications in Industrial Solid Ash. View
  2. . Complementary Medicine for Veterinary Technicians and Nurses. View