Journal articles on the topic 'Biomedical summarization'
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Chaves, Andrea, Cyrille Kesiku, and Begonya Garcia-Zapirain. "Automatic Text Summarization of Biomedical Text Data: A Systematic Review." Information 13, no. 8 (August 19, 2022): 393. http://dx.doi.org/10.3390/info13080393.
Full textByrnes, Patrick D., and William Evan Higgins. "Efficient Bronchoscopic Video Summarization." IEEE Transactions on Biomedical Engineering 66, no. 3 (March 2019): 848–63. http://dx.doi.org/10.1109/tbme.2018.2859322.
Full textGuo, Yue, Wei Qiu, Yizhong Wang, and Trevor Cohen. "Automated Lay Language Summarization of Biomedical Scientific Reviews." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 1 (May 18, 2021): 160–68. http://dx.doi.org/10.1609/aaai.v35i1.16089.
Full textPlaza, Laura, Mark Stevenson, and Alberto Díaz. "Resolving ambiguity in biomedical text to improve summarization." Information Processing & Management 48, no. 4 (July 2012): 755–66. http://dx.doi.org/10.1016/j.ipm.2011.09.005.
Full textShang, Yue, Yanpeng Li, Hongfei Lin, and Zhihao Yang. "Enhancing Biomedical Text Summarization Using Semantic Relation Extraction." PLoS ONE 6, no. 8 (August 26, 2011): e23862. http://dx.doi.org/10.1371/journal.pone.0023862.
Full textSaini, Naveen, Sriparna Saha, Pushpak Bhattacharyya, and Himanshu Tuteja. "Textual Entailment--Based Figure Summarization for Biomedical Articles." ACM Transactions on Multimedia Computing, Communications, and Applications 16, no. 1s (April 28, 2020): 1–24. http://dx.doi.org/10.1145/3357334.
Full textDavoodijam, Ensieh, Nasser Ghadiri, Maryam Lotfi Shahreza, and Fabio Rinaldi. "MultiGBS: A multi-layer graph approach to biomedical summarization." Journal of Biomedical Informatics 116 (April 2021): 103706. http://dx.doi.org/10.1016/j.jbi.2021.103706.
Full textDu, Yongping, Qingxiao Li, Lulin Wang, and Yanqing He. "Biomedical-domain pre-trained language model for extractive summarization." Knowledge-Based Systems 199 (July 2020): 105964. http://dx.doi.org/10.1016/j.knosys.2020.105964.
Full textWu, Xiaofang, Zhihao Yang, ZhiHeng Li, Hongfei Lin, and Jian Wang. "Disease Related Knowledge Summarization Based on Deep Graph Search." BioMed Research International 2015 (2015): 1–11. http://dx.doi.org/10.1155/2015/428195.
Full textS. Almasoud, Ahmed, Siwar Ben Haj Hassine, Fahd N. Al-Wesabi, Mohamed K. Nour, Anwer Mustafa Hilal, Mesfer Al Duhayyim, Manar Ahmed Hamza, and Abdelwahed Motwakel. "Automated Multi-Document Biomedical Text Summarization Using Deep Learning Model." Computers, Materials & Continua 71, no. 3 (2022): 5799–815. http://dx.doi.org/10.32604/cmc.2022.024556.
Full textReeve, Lawrence H., Hyoil Han, and Ari D. Brooks. "The use of domain-specific concepts in biomedical text summarization." Information Processing & Management 43, no. 6 (November 2007): 1765–76. http://dx.doi.org/10.1016/j.ipm.2007.01.026.
Full textAfzal, Muhammad, Fakhare Alam, Khalid Mahmood Malik, and Ghaus M. Malik. "Clinical Context–Aware Biomedical Text Summarization Using Deep Neural Network: Model Development and Validation." Journal of Medical Internet Research 22, no. 10 (October 23, 2020): e19810. http://dx.doi.org/10.2196/19810.
Full textPlaza, Laura. "Comparing different knowledge sources for the automatic summarization of biomedical literature." Journal of Biomedical Informatics 52 (December 2014): 319–28. http://dx.doi.org/10.1016/j.jbi.2014.07.014.
Full textMoradi, Milad, and Nasser Ghadiri. "Different approaches for identifying important concepts in probabilistic biomedical text summarization." Artificial Intelligence in Medicine 84 (January 2018): 101–16. http://dx.doi.org/10.1016/j.artmed.2017.11.004.
Full textMoradi, Milad, and Nasser Ghadiri. "Quantifying the informativeness for biomedical literature summarization: An itemset mining method." Computer Methods and Programs in Biomedicine 146 (July 2017): 77–89. http://dx.doi.org/10.1016/j.cmpb.2017.05.011.
Full textRouane, Oussama, Hacene Belhadef, and Mustapha Bouakkaz. "Combine clustering and frequent itemsets mining to enhance biomedical text summarization." Expert Systems with Applications 135 (November 2019): 362–73. http://dx.doi.org/10.1016/j.eswa.2019.06.002.
Full textGupta, Supriya, Aakanksha Sharaff, and Naresh Kumar Nagwani. "Graph Ranked Clustering Based Biomedical Text Summarization Using Top k Similarity." Computer Systems Science and Engineering 45, no. 3 (2023): 2333–49. http://dx.doi.org/10.32604/csse.2023.030385.
Full textMishra, Rashmi, Jiantao Bian, Marcelo Fiszman, Charlene R. Weir, Siddhartha Jonnalagadda, Javed Mostafa, and Guilherme Del Fiol. "Text summarization in the biomedical domain: A systematic review of recent research." Journal of Biomedical Informatics 52 (December 2014): 457–67. http://dx.doi.org/10.1016/j.jbi.2014.06.009.
Full textNasr Azadani, Mozhgan, Nasser Ghadiri, and Ensieh Davoodijam. "Graph-based biomedical text summarization: An itemset mining and sentence clustering approach." Journal of Biomedical Informatics 84 (August 2018): 42–58. http://dx.doi.org/10.1016/j.jbi.2018.06.005.
Full textMoradi, Milad, Maedeh Dashti, and Matthias Samwald. "Summarization of biomedical articles using domain-specific word embeddings and graph ranking." Journal of Biomedical Informatics 107 (July 2020): 103452. http://dx.doi.org/10.1016/j.jbi.2020.103452.
Full textLing, Xu, Jing Jiang, Xin He, Qiaozhu Mei, Chengxiang Zhai, and Bruce Schatz. "Generating gene summaries from biomedical literature: A study of semi-structured summarization." Information Processing & Management 43, no. 6 (November 2007): 1777–91. http://dx.doi.org/10.1016/j.ipm.2007.01.018.
Full textMoradi, Milad, Georg Dorffner, and Matthias Samwald. "Deep contextualized embeddings for quantifying the informative content in biomedical text summarization." Computer Methods and Programs in Biomedicine 184 (February 2020): 105117. http://dx.doi.org/10.1016/j.cmpb.2019.105117.
Full textAfzal, Muhammad, Maqbool Hussain, Khalid Mahmood Malik, and Sungyoung Lee. "Impact of Automatic Query Generation and Quality Recognition Using Deep Learning to Curate Evidence From Biomedical Literature: Empirical Study." JMIR Medical Informatics 7, no. 4 (December 9, 2019): e13430. http://dx.doi.org/10.2196/13430.
Full textShen, Chen, Hongfei Lin, Huihui Hao, Zhihao Yang, Jian Wang, and Shaowu Zhang. "Intelligent multi-document summarization for biomedical literature by word embeddings and graph-based ranking." Journal of Intelligent & Fuzzy Systems 37, no. 4 (October 25, 2019): 4797–802. http://dx.doi.org/10.3233/jifs-179315.
Full textHe, Huan, Sunyang Fu, Liwei Wang, Sijia Liu, Andrew Wen, and Hongfang Liu. "MedTator: a serverless annotation tool for corpus development." Bioinformatics 38, no. 6 (January 4, 2022): 1776–78. http://dx.doi.org/10.1093/bioinformatics/btab880.
Full textLi, Fang. "Design of an Interactive Two-Way Telemedicine Service System for Smart Home Care for the Elderly." Journal of Healthcare Engineering 2021 (April 14, 2021): 1–11. http://dx.doi.org/10.1155/2021/6632865.
Full textWorkman, T. Elizabeth, Marcelo Fiszman, John F. Hurdle, and Thomas C. Rindflesch. "Biomedical text summarization to support genetic database curation: using Semantic MEDLINE to create a secondary database of genetic information." Journal of the Medical Library Association : JMLA 98, no. 4 (October 2010): 273–81. http://dx.doi.org/10.3163/1536-5050.98.4.003.
Full textDumontier, Michel, Alasdair J. G. Gray, M. Scott Marshall, Vladimir Alexiev, Peter Ansell, Gary Bader, Joachim Baran, et al. "The health care and life sciences community profile for dataset descriptions." PeerJ 4 (August 16, 2016): e2331. http://dx.doi.org/10.7717/peerj.2331.
Full textYang, Wei, Hua Yue, Guihong Lu, Wenjing Wang, Yuan Deng, Guanghui Ma, and Wei Wei. "Advances in Delivering Oxidative Modulators for Disease Therapy." Research 2022 (September 22, 2022): 1–24. http://dx.doi.org/10.34133/2022/9897464.
Full textVanegas, Jorge A., Sérgio Matos, Fabio González, and José L. Oliveira. "An Overview of Biomolecular Event Extraction from Scientific Documents." Computational and Mathematical Methods in Medicine 2015 (2015): 1–19. http://dx.doi.org/10.1155/2015/571381.
Full textSmalheiser, Neil R., Dean P. Fragnito, and Eric E. Tirk. "Anne O’Tate: Value-added PubMed search engine for analysis and text mining." PLOS ONE 16, no. 3 (March 8, 2021): e0248335. http://dx.doi.org/10.1371/journal.pone.0248335.
Full textGlicksberg, Benjamin S., Boris Oskotsky, Nicholas Giangreco, Phyllis M. Thangaraj, Vivek Rudrapatna, Debajyoti Datta, Remi Frazier, et al. "ROMOP: a light-weight R package for interfacing with OMOP-formatted electronic health record data." JAMIA Open 2, no. 1 (January 4, 2019): 10–14. http://dx.doi.org/10.1093/jamiaopen/ooy059.
Full textRodriguez-Pla, A. "AB0408 SYSTEMIC SCLERODERMA AND ENVIRONMENTAL RISK FACTORS: IDENTIFYING ASSOCIATIONS MINING THE BIOMEDICAL LITERATURE." Annals of the Rheumatic Diseases 80, Suppl 1 (May 19, 2021): 1232.2–1233. http://dx.doi.org/10.1136/annrheumdis-2021-eular.330.
Full textRodriguez-Pla, A., and R. Cartin-Ceba. "AB0386 CORONAVIRUS INFECTION AND VASCULITIS: IDENTIFYING ASSOCIATIONS MINING THE BIOMEDICAL LITERATURE." Annals of the Rheumatic Diseases 80, Suppl 1 (May 19, 2021): 1220.1–1221. http://dx.doi.org/10.1136/annrheumdis-2021-eular.329.
Full textPapadopoulos, Dimitris, Nikolaos Papadakis, and Antonis Litke. "A Methodology for Open Information Extraction and Representation from Large Scientific Corpora: The CORD-19 Data Exploration Use Case." Applied Sciences 10, no. 16 (August 13, 2020): 5630. http://dx.doi.org/10.3390/app10165630.
Full textYang, Xi, Xing He, Hansi Zhang, Yinghan Ma, Jiang Bian, and Yonghui Wu. "Measurement of Semantic Textual Similarity in Clinical Texts: Comparison of Transformer-Based Models." JMIR Medical Informatics 8, no. 11 (November 23, 2020): e19735. http://dx.doi.org/10.2196/19735.
Full textLong, Shengxiang, Yongmin Peng, Jing Lu, Tong Zhu, Chuanxiang Sun, and Jun Luo. "Identification and Applications of Micro to Macroscale Shale Lithofacies." Journal of Nanoscience and Nanotechnology 21, no. 1 (January 1, 2021): 659–69. http://dx.doi.org/10.1166/jnn.2021.18477.
Full textWang, Yanshan, Sunyang Fu, Feichen Shen, Sam Henry, Ozlem Uzuner, and Hongfang Liu. "The 2019 n2c2/OHNLP Track on Clinical Semantic Textual Similarity: Overview." JMIR Medical Informatics 8, no. 11 (November 27, 2020): e23375. http://dx.doi.org/10.2196/23375.
Full textGivchi, Azadeh, Reza Ramezani, and Ahmad Baraani. "Graph-based Abstractive Biomedical Text Summarization." Journal of Biomedical Informatics, June 2022, 104099. http://dx.doi.org/10.1016/j.jbi.2022.104099.
Full textWang, Mengqian, Manhua Wang, Fei Yu, Yue Yang, Jennifer Walker, and Javed Mostafa. "A systematic review of automatic text summarization for biomedical literature and EHRs." Journal of the American Medical Informatics Association, August 2, 2021. http://dx.doi.org/10.1093/jamia/ocab143.
Full textLee, Eva K., and Karan Uppal. "CERC: an interactive content extraction, recognition, and construction tool for clinical and biomedical text." BMC Medical Informatics and Decision Making 20, S14 (December 2020). http://dx.doi.org/10.1186/s12911-020-01330-8.
Full textYoo, Illhoi, Xiaohua Hu, and Il-Yeol Song. "A coherent graph-based semantic clustering and summarization approach for biomedical literature and a new summarization evaluation method." BMC Bioinformatics 8, S9 (November 27, 2007). http://dx.doi.org/10.1186/1471-2105-8-s9-s4.
Full textXie, Qianqian, Jennifer Amy Bishop, Prayag Tiwari, and Sophia Ananiadou. "Pre-trained language models with domain knowledge for biomedical extractive summarization." Knowledge-Based Systems, July 2022, 109460. http://dx.doi.org/10.1016/j.knosys.2022.109460.
Full textGupta, Supriya, Aakanksha Sharaff, and Naresh Kumar Nagwani. "Frequent item-set mining and clustering based ranked biomedical text summarization." Journal of Supercomputing, July 4, 2022. http://dx.doi.org/10.1007/s11227-022-04578-1.
Full textGupta, Supriya. "Frequent Item-Set Mining and Clustering Based Ranked Biomedical Text Summarization." SSRN Electronic Journal, 2022. http://dx.doi.org/10.2139/ssrn.4067265.
Full textZhang, Han, Marcelo Fiszman, Dongwook Shin, Bartlomiej Wilkowski, and Thomas C. Rindflesch. "Clustering cliques for graph-based summarization of the biomedical research literature." BMC Bioinformatics 14, no. 1 (June 7, 2013). http://dx.doi.org/10.1186/1471-2105-14-182.
Full textZheng, Ling, Hua Min, Yan Chen, Vipina Keloth, James Geller, Yehoshua Perl, and George Hripcsak. "Outlier concepts auditing methodology for a large family of biomedical ontologies." BMC Medical Informatics and Decision Making 20, S10 (December 2020). http://dx.doi.org/10.1186/s12911-020-01311-x.
Full textYu, Yue, Kexin Huang, Chao Zhang, Lucas M. Glass, Jimeng Sun, and Cao Xiao. "SumGNN: multi-typed drug interaction prediction via efficient knowledge graph summarization." Bioinformatics, March 26, 2021. http://dx.doi.org/10.1093/bioinformatics/btab207.
Full textRohil, Mukesh Kumar, and Varun Magotra. "An exploratory study of automatic text summarization in biomedical and healthcare domain." Healthcare Analytics, April 2022, 100058. http://dx.doi.org/10.1016/j.health.2022.100058.
Full textDu, Yongping, Yiliang Zhao, Jingya Yan, and Qingxiao Li. "UGDAS: Unsupervised graph-network based denoiser for abstractive summarization in biomedical domain." Methods, April 2022. http://dx.doi.org/10.1016/j.ymeth.2022.03.012.
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