Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Semen, Melchenko"'
Autor:
Gleb, Danilov, Timur, Ishankulov, Alexandra, Kosyrkova, Maria, Shults, Semen, Melchenko, Tatyana, Tsukanova, Michael, Shifrin, Alexander, Potapov
Publikováno v:
Studies in health technology and informatics. 289
In this study, we tested the quality of the information extraction algorithm proposed by our group to detect pulmonary embolism (PE) in medical cases through sentence labeling. Having shown a comparable result (F1 = 0.921) to the best machine learnin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::3f70220124055de296197cb1791e3ccc
https://pubmed.ncbi.nlm.nih.gov/35062094
https://pubmed.ncbi.nlm.nih.gov/35062094
Autor:
Gleb Danilov, Timur Ishankulov, Alexandra Kosyrkova, Maria Shults, Semen Melchenko, Tatyana Tsukanova, Michael Shifrin, Alexander Potapov
In this study, we tested the quality of the information extraction algorithm proposed by our group to detect pulmonary embolism (PE) in medical cases through sentence labeling. Having shown a comparable result (F1 = 0.921) to the best machine learnin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::903bc07072887d65ddbdaf8f044feaaa
https://doi.org/10.3233/shti210861
https://doi.org/10.3233/shti210861
Autor:
Michael A. Shifrin, Alexander Potapov, Tatyana Tsukanova, Semen Melchenko, Gleb Danilov, Maria Shults, Alexandra V. Kosyrkova
Publikováno v:
MIE
Unstructured medical text labeling technologies are expected to be highly demanded since the interest in artificial intelligence and natural language processing arises in the medical domain. Our study aimed to assess the agreement between experts who
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::587b99f651d4cb6c1812b7994e0fe547
https://doi.org/10.3233/shti210132
https://doi.org/10.3233/shti210132
Autor:
Gleb, Danilov, Alexandra, Kosyrkova, Maria, Shults, Semen, Melchenko, Tatyana, Tsukanova, Michael, Shifrin, Alexander, Potapov
Publikováno v:
Studies in health technology and informatics. 281
Unstructured medical text labeling technologies are expected to be highly demanded since the interest in artificial intelligence and natural language processing arises in the medical domain. Our study aimed to assess the agreement between experts who
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::3121183896e3f064fd556f3af2e6a4ec
https://pubmed.ncbi.nlm.nih.gov/34042717
https://pubmed.ncbi.nlm.nih.gov/34042717
Autor:
Gleb, Danilov, Michael, Shifrin, Yuliya, Strunina, Konstantin, Kotik, Tatyana, Tsukanova, Tatiana, Pronkina, Timur, Ishankulov, Elizaveta, Makashova, Alexandra, Kosyrkova, Semen, Melchenko, Timur, Zagidullin, Alexander, Potapov
Publikováno v:
Studies in health technology and informatics. 272
The automated detection of adverse events in medical records might be a cost-effective solution for patient safety management or pharmacovigilance. Our group proposed an information extraction algorithm (IEA) for detecting adverse events in neurosurg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::560625b9b0d361dd59e296aa25323b3d
https://pubmed.ncbi.nlm.nih.gov/32604599
https://pubmed.ncbi.nlm.nih.gov/32604599