Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Zhivko Angelov"'
Autor:
Zornitsa Mitkova, Konstantin Mitov, Vasil Valov, Manoela Manova, Alexandra Savova, Maria Kamusheva, Dimitar Tcharaktchiev, Zhivko Angelov, Galia Angelova, Guenka Petrova
Publikováno v:
Frontiers in Pharmacology, Vol 10 (2019)
AimIncretins [dipeptidyl peptidase-4 inhibitors (DPP-4i) and glucagon-like peptide 1 RA (GLP-1 RA)] and sodium-glucose cotransporter-2 inhibitors (SGLT-2i) groups are now routinely used for type 2 diabetes therapy and comprise a large number of medic
Externí odkaz:
https://doaj.org/article/b552478ebd114cefac4df31933f37a9c
Publikováno v:
RANLP
This paper presents experiments in risk factors analysis based on clinical texts enhanced with Linked Open Data (LOD). The idea is to determine whether a patient has risk factors for a specific disease analyzing only his/her outpatient records. A sem
Publikováno v:
CompSysTech
This paper presents experiments in risk factors analysis based on clinical texts and related Linked Open Data. Enhancements with additional data sources can enrich patient data and allow for a deeper investigation of correlations. In order to explore
Autor:
Galia Angelova, Zornitsa Mitkova, Dimitar Tcharaktchiev, Alexandra Savova, Guenka Petrova, Maria Kamusheva, Vasil Valov, Zhivko Angelov, Manoela Manova, Konstantin Mitov
Publikováno v:
Frontiers in Pharmacology, Vol 10 (2019)
Frontiers in Pharmacology
Frontiers in Pharmacology
Aim Incretins [dipeptidyl peptidase-4 inhibitors (DPP-4i) and glucagon-like peptide 1 RA (GLP-1 RA)] and sodium-glucose cotransporter-2 inhibitors (SGLT-2i) groups are now routinely used for type 2 diabetes therapy and comprise a large number of medi
Publikováno v:
Communications in Computer and Information Science ISBN: 9783319965529
DAMDID/RCDL (Selected Papers)
DAMDID/RCDL (Selected Papers)
This paper discusses the need of building diabetic registers in order to monitor the disease development and assess the prevention and treatment plans. The automatic generation of a nation-wide Diabetes Register in Bulgaria is presented, using outpat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e8738bc1939346bc2f93cb26a98cb72d
https://doi.org/10.1007/978-3-319-96553-6_2
https://doi.org/10.1007/978-3-319-96553-6_2
Text Mining and Big Data Analytics for Retrospective Analysis of Clinical Texts from Outpatient Care
Publikováno v:
Cybernetics and Information Technologies. 15:58-77
This paper presents the results of an on-going research project for knowledge extraction from large corpora of clinical narratives in Bulgarian language, approximately 100 million of outpatient care notes. Entities with numerical values are mined in
Publikováno v:
BiomedicalNLP@RANLP
We describe a method which extracts Association Rules from texts in order to recognise verbalisations of risk factors. Usually some basic vocabulary about risk factors is known but medical conditions are expressed in clinical narratives with much hig
Background Studying comorbidities of disorders is important for detection and prevention. For discovering frequent patterns of diseases we can use retrospective analysis of population data, by filtering events with common properties and similar signi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::42c7753338c209e0d19faad457002d6e
Autor:
Maria Kamusheva, Alexandra Savova, Guenka Petrova, Konstantin Mitov, Zornitsa Mitkova, Zhivko Angelov, Dimitar Tcharaktchiev, Vasil Valov, Galia Angelova, Manoela Manova
Publikováno v:
International Journal of Diabetes in Developing Countries. 38:520-521
Autor:
Darina Dicheva, Darin Madzharov, Christo Dichev, Ivelina Nikolova, Galia Angelova, Gennady Agre, Zhivko Angelov
Publikováno v:
Artificial Intelligence: Methodology, Systems, and Applications ISBN: 9783319447476
AIMSA
AIMSA
The paper presents a statistical exploration of the use of resources in Bulgarian educational site UCHA.SE based on the user logs and information on students’ interactions stored directly in the site database. This research aims at revealing gaps b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c48962d3791c8ea3c0dd70981705962d
https://doi.org/10.1007/978-3-319-44748-3_34
https://doi.org/10.1007/978-3-319-44748-3_34