Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Ksenia, Balabaeva"'
Publikováno v:
Procedia Computer Science. 212:122-131
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::047d6419431f30354396f033bb2a16b8
https://doi.org/10.1016/j.procs.2022.10.214
https://doi.org/10.1016/j.procs.2022.10.214
Autor:
Ksenia Balabaeva, Sergey Kovalchuk
Publikováno v:
Computational Science – ICCS 2022 ISBN: 9783031087561
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f4a5f7531c898fa0edc533d3291cf3ac
https://doi.org/10.1007/978-3-031-08757-8_11
https://doi.org/10.1007/978-3-031-08757-8_11
Publikováno v:
Studies in health technology and informatics. 285
The relevance of this study lies in improvement of machine learning models understanding. We present a method for interpreting clustering results and apply it to the case of clinical pathways modeling. This method is based on statistical inference an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::40e2b34611a246d84ee59a395aa06f7a
https://pubmed.ncbi.nlm.nih.gov/34734858
https://pubmed.ncbi.nlm.nih.gov/34734858
Publikováno v:
pHealth
The relevance of this study lies in improvement of machine learning models understanding. We present a method for interpreting clustering results and apply it to the case of clinical pathways modeling. This method is based on statistical inference an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ab6b46359d2d0e8dd5f6fb2fe94137f6
https://doi.org/10.3233/shti210580
https://doi.org/10.3233/shti210580
Autor:
Sergey V. Kovalchuk, Ksenia Balabaeva
Publikováno v:
Procedia Computer Science. 178:264-273
This study is dedicated to the domain of explainable artificial intelligence. We propose an approach to machine learning clustering results interpretation and apply it to clinical clusters interpretation. We use Bayesian inference to the post-hoc int
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4ffb601c8f7df505e9277e8d07531590
https://doi.org/10.1016/j.procs.2020.11.028
https://doi.org/10.1016/j.procs.2020.11.028
Publikováno v:
Procedia Computer Science. 178:65-74
Mining optimization in oil and gas industry has been an important task. The production volume of oil and gas crucially depends on many factors. One of them is wells location. This study contributes to the domain of oil and gas exploration and extract
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a858b4532809742d054aca9dce521e60
https://doi.org/10.1016/j.procs.2020.11.008
https://doi.org/10.1016/j.procs.2020.11.008
Autor:
Ksenia, Balabaeva, Sergey, Kovalchuk
Publikováno v:
Studies in health technology and informatics. 281
The present study is devoted to interpretable artificial intelligence in medicine. In our previous work we proposed an approach to clustering results interpretation based on Bayesian Inference. As an application case we used clinical pathways cluster
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::cac4295ab89c44a9e77f29d547656f58
https://pubmed.ncbi.nlm.nih.gov/34042610
https://pubmed.ncbi.nlm.nih.gov/34042610
Autor:
Ksenia Balabaeva, Sergey V. Kovalchuk
Publikováno v:
MIE
The present study is devoted to interpretable artificial intelligence in medicine. In our previous work we proposed an approach to clustering results interpretation based on Bayesian Inference. As an application case we used clinical pathways cluster
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::25487b853377c6fb1965db1f53dbcf52
https://doi.org/10.3233/shti210204
https://doi.org/10.3233/shti210204
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