Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Mariya, Kashina"'
Preprocessing of unstructured medical data: the impact of each preprocessing stage on classification
Publikováno v:
Procedia Computer Science. 178:284-290
Nowadays, it is still important to develop methods for processing data, in particular medical texts, in Russian. In this paper, we checked how each stage of text pre-processing affects the result of the classifier. The paper analyzed 269923 records o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::567435b09fd0dba0999cf16234354dae
https://doi.org/10.1016/j.procs.2020.11.030
https://doi.org/10.1016/j.procs.2020.11.030
Publikováno v:
Studies in health technology and informatics. 273
The use of different data formats complicates the standardization and exchange of valuable medical data. Moreover, a big part of medical data is stored as unstructured medical records that are complicated to process. In this work we solve the task of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::33a1571f5c5746674e8d87649a9d1beb
https://pubmed.ncbi.nlm.nih.gov/33087608
https://pubmed.ncbi.nlm.nih.gov/33087608
Autor:
Mikhail A. Kinzhalov, Alexander S. Mikherdov, Mariya Kashina, Vitalii V. Suslonov, Svetlana A. Katkova
Publikováno v:
Russian Journal of General Chemistry. 88:1180-1187
Phosphine isocyanide complexes cis-[PtCl2(CNMes)(P)] with mesitylisocyanide and phoshine ligands were synthesized in yields of 92‒98%. The products were characterized by mass spectrometry, IR and 1H NMR, COSY, NOESY, HSQC, and HMBC spectroscopy, an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bfd5e8c41efb2946313512e1e266fd04
https://doi.org/10.1134/s107036321806021x
https://doi.org/10.1134/s107036321806021x
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030504229
ICCS (4)
ICCS (4)
Structuring medical text using international standards allows to improve interoperability and quality of predictive modelling. Medical text classification task facilitates information extraction. In this work we investigate the applicability of sever
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4b691d9b650552e4f96328744308f000
https://doi.org/10.1007/978-3-030-50423-6_38
https://doi.org/10.1007/978-3-030-50423-6_38
