Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Anastasia, Funkner"'
Publikováno v:
Journal of Personalized Medicine
Journal of Personalized Medicine; Volume 12; Issue 1; Pages: 25
Journal of Personalized Medicine, Vol 12, Iss 25, p 25 (2022)
Journal of Personalized Medicine; Volume 12; Issue 1; Pages: 25
Journal of Personalized Medicine, Vol 12, Iss 25, p 25 (2022)
Electronic medical records (EMRs) include many valuable data about patients, which is, however, unstructured. Therefore, there is a lack of both labeled medical text data in Russian and tools for automatic annotation. As a result, today, it is hardly
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e187dad7415270076b8ae4e01624374d
https://pubmed.ncbi.nlm.nih.gov/35055340
https://pubmed.ncbi.nlm.nih.gov/35055340
Autor:
Michil, Egorov, Anastasia, Funkner
Publikováno v:
Studies in health technology and informatics. 285
This paper explores the problems of extraction and decryption of abbreviations from domain-specific texts in Russian. The main focus are unstructured electronic medical records which pose specific preprocessing problems. The major challenge is that t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::59785fb202426355e808b02122cdd75b
https://pubmed.ncbi.nlm.nih.gov/34734887
https://pubmed.ncbi.nlm.nih.gov/34734887
Publikováno v:
Studies in health technology and informatics. 270
Developing predictive modeling in medicine requires additional features from unstructured clinical texts. In Russia, there are no instruments for natural language processing to cope with problems of medical records. This paper is devoted to a module
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::d57f37f439630fb865033188d62a0c1a
https://pubmed.ncbi.nlm.nih.gov/32570403
https://pubmed.ncbi.nlm.nih.gov/32570403
Publikováno v:
Studies in health technology and informatics. 270
The main goal of this paper is to develop a spell checker module for clinical text in Russian. The described approach combines string distance measure algorithms with technics of machine learning embedding methods. Our overall precision is 0.86, lexi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::df8ae1c564f22ef60d6d4275a7bf55a7
https://pubmed.ncbi.nlm.nih.gov/32570343
https://pubmed.ncbi.nlm.nih.gov/32570343
Publikováno v:
Studies in health technology and informatics. 261
This study proposes a graph-based method for representing the dynamics of chronic diabetes as a complex process with different characteristics. The study was based on the case histories of 6864 patients with diabetes mellitus, 90% of whom suffer from
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::a7cb5ac53ece9a02a95e003e7a3e2076
https://pubmed.ncbi.nlm.nih.gov/31156107
https://pubmed.ncbi.nlm.nih.gov/31156107
Autor:
Liubov, Elkhovskaya, Maxim, Kabyshev, Anastasia, Funkner, Marina, Balakhontceva, Vladimir, Fonin, Sergey, Kovalchuk
Publikováno v:
Studies in health technology and informatics. 261
The study is aimed towards the assessment and improvement of complex informational, healthcare, and medical processes existing in the distributed environment during monitoring and providing healthcare services to patients with chronic diseases. The s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::bb974ddc9ab23f3d402623f4376bc00e
https://pubmed.ncbi.nlm.nih.gov/31156136
https://pubmed.ncbi.nlm.nih.gov/31156136