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

Natural Language Processing (706) Artificial Intelligence (1421) Epublishing and Open Access (86) Knowledge Translation and Implementation Science (407)

Published on in Vol 7, No 4 (2019): Oct-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/13430, first published .
Impact of Automatic Query Generation and Quality Recognition Using Deep Learning to Curate Evidence From Biomedical Literature: Empirical Study

Impact of Automatic Query Generation and Quality Recognition Using Deep Learning to Curate Evidence From Biomedical Literature: Empirical Study

Impact of Automatic Query Generation and Quality Recognition Using Deep Learning to Curate Evidence From Biomedical Literature: Empirical Study

Authors of this article:

Muhammad Afzal1, 2 Author Orcid Image ;   Maqbool Hussain1 Author Orcid Image ;   Khalid Mahmood Malik2 Author Orcid Image ;   Sungyoung Lee3 Author Orcid Image
Article Authors Cited by (8) Tweetations (7) Metrics

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  2. 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
  3. Park B, Afzal M, Hussain J, Abbas A, Lee S. Automatic Identification of High Impact Relevant Articles to Support Clinical Decision Making Using Attention-Based Deep Learning. Electronics 2020;9(9):1364 View
  4. Sampa M, Hossain M, Hoque M, Islam R, Yokota F, Nishikitani M, Ahmed A. Blood Uric Acid Prediction With Machine Learning: Model Development and Performance Comparison. JMIR Medical Informatics 2020;8(10):e18331 View
  5. Yoo J, Kim S, Hur S, Ha J, Huh K, Cha W. Candidemia Risk Prediction (CanDETEC) Model for Patients With Malignancy: Model Development and Validation in a Single-Center Retrospective Study. JMIR Medical Informatics 2021;9(7):e24651 View
  6. Zia A, Aziz M, Popa I, Khan S, Hamedani A, Asif A. Artificial Intelligence-Based Medical Data Mining. Journal of Personalized Medicine 2022;12(9):1359 View
  7. 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
  8. Brezočnik L, Žlender T, Rupnik M, Podgorelec V. Using Machine Learning and Natural Language Processing for Unveiling Similarities between Microbial Data. Mathematics 2024;12(17):2717 View