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

Clinical Informatics (1325) Big Data (307) Machine Learning (2074) Natural Language Processing (917)

Published on in Vol 22, No 10 (2020): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/19810, first published .
Clinical Context–Aware Biomedical Text Summarization Using Deep Neural Network: Model Development and Validation

Clinical Context–Aware Biomedical Text Summarization Using Deep Neural Network: Model Development and Validation

Clinical Context–Aware Biomedical Text Summarization Using Deep Neural Network: Model Development and Validation

Authors of this article:

Muhammad Afzal1, 2 Author Orcid Image ;   Fakhare Alam2 Author Orcid Image ;   Khalid Mahmood Malik2 Author Orcid Image ;   Ghaus M Malik3 Author Orcid Image
Article Authors Cited by (39) Tweetations (5) Metrics

Journals

  1. Wang M, Wang M, Yu F, Yang Y, Walker J, Mostafa J. A systematic review of automatic text summarization for biomedical literature and EHRs. Journal of the American Medical Informatics Association 2021;28(10):2287 View
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  8. Pawar D, Phansalkar S, Sharma A, Sahu G, Ang C, Lim W. Survey on the Biomedical Text Summarization Techniques with an Emphasis on Databases, Techniques, Semantic Approaches, Classification Techniques, and Similarity Measures. Sustainability 2023;15(5):4216 View
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  11. Schmidt L, Finnerty Mutlu A, Elmore R, Olorisade B, Thomas J, Higgins J. Data extraction methods for systematic review (semi)automation: Update of a living systematic review. F1000Research 2023;10:401 View
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  13. Zhou B, Yang G, Shi Z, Ma S. Natural Language Processing for Smart Healthcare. IEEE Reviews in Biomedical Engineering 2024;17:4 View
  14. Mulla S, Shaikh N. Weighted Graph Embedding Feature with Bi-Directional Long Short-Term Memory Classifier for Multi-Document Text Summarization. International Journal of Image and Graphics 2024;24(02) View
  15. Witte C, Schmidt D, Cimiano P. Comparing generative and extractive approaches to information extraction from abstracts describing randomized clinical trials. Journal of Biomedical Semantics 2024;15(1) View
  16. Abazari Kia M, Garifullina A, Kern M, Chamberlain J, Jameel S. Question‐driven text summarization using an extractive‐abstractive framework. Computational Intelligence 2024;40(3) View
  17. Huang E, Yang J, Liao K, Tseng W, Lee C, Gill M, Compas C, See S, Tsai F. Predicting blood–brain barrier permeability of molecules with a large language model and machine learning. Scientific Reports 2024;14(1) View
  18. 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
  19. Adhikary P, Srivastava A, Kumar S, Singh S, Manuja P, Gopinath J, Krishnan V, Gupta S, Deb K, Chakraborty T. Exploring the Efficacy of Large Language Models in Summarizing Mental Health Counseling Sessions: Benchmark Study. JMIR Mental Health 2024;11:e57306 View
  20. Luo M, Xue B, Niu B. A comprehensive survey for automatic text summarization: Techniques, approaches and perspectives. Neurocomputing 2024;603:128280 View
  21. Prasad Mudigonda K, Lingineni N, Manisai Y, Pennada M, Gadde M, Sai Aluri R. Extractive text summarization on medical insights using fine-tuned transformers. International Journal of Computers and Applications 2024;46(11):957 View
  22. Xu C, Wang T, Chen M, Chen J, Pan Z. Class-aware graph Siamese representation learning. Neurocomputing 2025;620:129209 View
  23. Han J, Zhang H, Ning K. Techniques for learning and transferring knowledge for microbiome-based classification and prediction: review and assessment. Briefings in Bioinformatics 2024;26(1) View
  24. Dai J, Chen G, Gu Z, Qi Y, Xu K. Accuracy of smartwatches in predicting distance running performance. Frontiers in Sports and Active Living 2025;7 View
  25. Schmidt L, Finnerty Mutlu A, Elmore R, Olorisade B, Thomas J, Higgins J. Data extraction methods for systematic review (semi)automation: Update of a living systematic review. F1000Research 2025;10:401 View
  26. Liu Y, Yu F, Zhang X, Tong X, Li K, Gu W, Yu B. Assessing the Role of Large Language Models Between ChatGPT and DeepSeek in Asthma Education for Bilingual Individuals: Comparative Study. JMIR Medical Informatics 2025;13:e65365 View

Books/Policy Documents

  1. Krishnaveni Reddy E, Mohammed T. Intelligent Systems and Sustainable Computing. View
  2. Ramesh D, Kothandaraman D, Chegoni R, Mohmmad S, Pasha S. Proceedings of the 2nd International Conference on Cognitive and Intelligent Computing. View
  3. Kukreja J, Kumar R. Mining Biomedical Text, Images and Visual Features for Information Retrieval. View

Conference Proceedings

  1. Kuber A, Kulthe S, Kulkarni Y, Pimple R, Kosamkar P. 2022 6th International Conference On Computing, Communication, Control And Automation (ICCUBEA. Extensive Study of Automatic Text Summarization on Biomedical Texts View
  2. Alambo A, Banerjee T, Thirunarayan K, Raymer M. 2022 26th International Conference on Pattern Recognition (ICPR). Entity-Driven Fact-Aware Abstractive Summarization of Biomedical Literature View
  3. Helwan A, Azar D, Ozsahin D. 2023 Advances in Science and Engineering Technology International Conferences (ASET). Medical Reports Summarization Using Text-To-Text Transformer View
  4. Tong Z, Xiao L, Chen J, Liu Z, Guo X, Liu P. 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). Expanding Medical Knowledge: A Clinical Decision Support System Utilizing Literature View
  5. G C, K S, D N, P G, M K. 2024 Second International Conference on Emerging Trends in Information Technology and Engineering (ICETITE). Extractive Text Summarization of Clinical Text Using Deep Learning Models View
  6. Anil A, Verma P, K A, Kumar P. 2024 International Conference on Advances in Data Engineering and Intelligent Computing Systems (ADICS). Revolutionizing Summarization: Unleashing the Power of Transformer-Based Innovations for Efficiency and Impactful Applications View
  7. Samuel P, Berna E, Kumar A, Reshmy A, Sriraj S, Saketh Y. 2024 International Conference on Communication, Computer Sciences and Engineering (IC3SE). A Hybrid Solution for Summarizing Diverse Medical Texts in the Health Domain View
  8. Muralidharan A, S A, R A, Raj A, Manmadhan S. 2025 Advanced Computing and Communication Technologies for High Performance Applications (ACCTHPA). MedSyn: AI-driven Medical History Summarization Using EHR Data View
  9. Hajari M, Shivaramakrishna B, Manikanta T, Pranay A, Mudusu R, Yelaki P, Hussein R. 3RD INTERNATIONAL CONFERENCE ON MULTIFUNCTIONAL MATERIALS: ICMM2024. Medical document summarization using text rank algorithm View
  10. Putri D, Bulyono F, Hugo V, Anderies . 2025 9th International Conference On Electrical, Electronics And Information Engineering (ICEEIE). Comparative Analysis of BERT, BART with Entailment-Aware Decoding, and Ensemble Technique for Summarizing Scientific Article in Medical Domain View