{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T18:19:02Z","timestamp":1743013142370,"version":"3.40.3"},"publisher-location":"Cham","reference-count":13,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030007935"},{"type":"electronic","value":"9783030007942"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-030-00794-2_11","type":"book-chapter","created":{"date-parts":[[2018,9,7]],"date-time":"2018-09-07T19:50:24Z","timestamp":1536349824000},"page":"106-114","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Adaptation of Algorithms for Medical Information Retrieval for Working on Russian-Language Text Content"],"prefix":"10.1007","author":[{"given":"Aleksandra","family":"Vatian","sequence":"first","affiliation":[]},{"given":"Natalia","family":"Dobrenko","sequence":"additional","affiliation":[]},{"given":"Anastasia","family":"Makarenko","sequence":"additional","affiliation":[]},{"given":"Niyaz","family":"Nigmatullin","sequence":"additional","affiliation":[]},{"given":"Nikolay","family":"Vedernikov","sequence":"additional","affiliation":[]},{"given":"Artem","family":"Vasilev","sequence":"additional","affiliation":[]},{"given":"Andrey","family":"Stankevich","sequence":"additional","affiliation":[]},{"given":"Natalia","family":"Gusarova","sequence":"additional","affiliation":[]},{"given":"Anatoly","family":"Shalyto","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,9,8]]},"reference":[{"issue":"1","key":"11_CR1","doi-asserted-by":"publisher","first-page":"373","DOI":"10.1186\/s12859-014-0373-3","volume":"15","author":"Z Afzal","year":"2014","unstructured":"Afzal, Z., Pons, E., Kang, N., Sturkenboom, M.C., Schuemie, M.J., Kors, J.A.: ContextD: an algorithm to identify contextual properties of medical terms in a Dutch clinical corpus. BMC Bioinform. 15(1), 373 (2014)","journal-title":"BMC Bioinform."},{"doi-asserted-by":"crossref","unstructured":"Allahyari, M., et al.: Text summarization techniques: a brief survey. arXiv preprint arXiv:1707.02268 (2017)","key":"11_CR2","DOI":"10.14569\/IJACSA.2017.081052"},{"key":"11_CR3","doi-asserted-by":"publisher","first-page":"160","DOI":"10.15690\/vramn663","volume":"2","author":"A Baranov","year":"2016","unstructured":"Baranov, A., et al.: Technologies for complex intelligent clinical data analysis. Vestnik Rossiiskoi akademii meditsinskikh nauk 2, 160\u2013171 (2016)","journal-title":"Vestnik Rossiiskoi akademii meditsinskikh nauk"},{"doi-asserted-by":"crossref","unstructured":"Bhatia, N., Jaiswal, A.: Automatic text summarization and it\u2019s methods - a review. In: 2016 6th International Conference on Cloud System and Big Data Engineering, Confluence, pp. 65\u201372. IEEE (2016)","key":"11_CR4","DOI":"10.1109\/CONFLUENCE.2016.7508049"},{"unstructured":"Gildeeva, G., Yurkov, V.: Pharmacovigilance in Russia: challenges, prospects and current state of affairs. J. Pharmacovigil. (2016)","key":"11_CR5"},{"issue":"1","key":"11_CR6","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1093\/bib\/bbv087","volume":"17","author":"GH Gonzalez","year":"2015","unstructured":"Gonzalez, G.H., Tahsin, T., Goodale, B.C., Greene, A.C., Greene, C.S.: Recent advances and emerging applications in text and data mining for biomedical discovery. Brief. Bioinform. 17(1), 33\u201342 (2015)","journal-title":"Brief. Bioinform."},{"key":"11_CR7","series-title":"Lecture Notes in Electrical Engineering","doi-asserted-by":"publisher","first-page":"269","DOI":"10.1007\/978-3-319-32213-1_24","volume-title":"Advances in Machine Learning and Signal Processing","author":"V Grozin","year":"2016","unstructured":"Grozin, V., Buraya, K., Gusarova, N.: Comparison of text forum summarization depending on query type for text forums. In: Soh, P.J., Woo, W.L., Sulaiman, H.A., Othman, M.A., Saat, M.S. (eds.) Advances in Machine Learning and Signal Processing. LNEE, vol. 387, pp. 269\u2013279. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-32213-1_24"},{"doi-asserted-by":"crossref","unstructured":"Lapaev, M.: Automated extraction of concept matcher thesaurus from semi-structured catalogue-like sources of data on the web. In: 2016 18th Conference of Open Innovations Association and Seminar on Information Security and Protection of Information Technology, FRUCT-ISPIT, pp. 153\u2013160. IEEE (2016)","key":"11_CR8","DOI":"10.1109\/FRUCT-ISPIT.2016.7561521"},{"key":"11_CR9","doi-asserted-by":"publisher","first-page":"268","DOI":"10.1016\/j.jbi.2015.10.011","volume":"58","author":"X Liu","year":"2015","unstructured":"Liu, X., Chen, H.: A research framework for pharmacovigilance in health social media: identification and evaluation of patient adverse drug event reports. J. Biomed. Inform. 58, 268\u2013279 (2015)","journal-title":"J. Biomed. Inform."},{"key":"11_CR10","series-title":"Communications in Computer and Information Science","doi-asserted-by":"publisher","first-page":"344","DOI":"10.1007\/978-3-319-45880-9_26","volume-title":"Knowledge Engineering and Semantic Web","author":"M Lushnov","year":"2016","unstructured":"Lushnov, M., Kudashov, V., Vodyaho, A., Lapaev, M., Zhukova, N., Korobov, D.: Medical knowledge representation for evaluation of patient\u2019s state using complex indicators. In: Ngonga Ngomo, A.-C., K\u0159emen, P. (eds.) KESW 2016. CCIS, vol. 649, pp. 344\u2013359. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-45880-9_26"},{"key":"11_CR11","doi-asserted-by":"publisher","first-page":"196","DOI":"10.1016\/j.jbi.2014.11.002","volume":"53","author":"A Sarker","year":"2015","unstructured":"Sarker, A., Gonzalez, G.: Portable automatic text classification for adverse drug reaction detection via multi-corpus training. J. Biomed. Inform. 53, 196\u2013207 (2015)","journal-title":"J. Biomed. Inform."},{"unstructured":"Shelmanov, A., Smirnov, I., Vishneva, E.: Information extraction from clinical texts in Russian. In: Computational Linguistics and Intellectual Technologies: Papers from the Annual International Conference, Dialogue, vol. 14, pp. 537\u2013549 (2015)","key":"11_CR12"},{"issue":"3","key":"11_CR13","doi-asserted-by":"publisher","first-page":"137","DOI":"10.1016\/j.artmed.2014.01.001","volume":"61","author":"S Velupillai","year":"2014","unstructured":"Velupillai, S., et al.: Cue-based assertion classification for Swedish clinical text\u2014Developing a lexicon for pyConTextSwe. Artif. Intell. Med. 61(3), 137\u2013144 (2014)","journal-title":"Artif. Intell. Med."}],"container-title":["Lecture Notes in Computer Science","Text, Speech, and Dialogue"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-00794-2_11","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,7]],"date-time":"2024-03-07T16:33:30Z","timestamp":1709829210000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-00794-2_11"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783030007935","9783030007942"],"references-count":13,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-00794-2_11","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"8 September 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}