Publications
1. Boytcheva, S., Angelova, G., Angelov, Z., & Tcharaktchiev, D. (2017). Mining comorbidity patterns using retrospective analysis of big collection of outpatient records. Health information science and systems, 5(1), 3. Springer International Publishing. Online ISSN 2047-2501 (Web of Science) doi:10.1007/s13755-017-0024-y
2. Boytcheva, S., Angelova, G., Angelov, Z., & Tcharaktchiev, D. (2017). Integrating Data Analysis Tools for Better Treatment of Diabetic Patients. CEUR Workshop Proceedings, volume 2022, pp. 229-236. ISSN 1613-0073 (SCOPUS) paper38
3. Boytcheva, S., Nikolova, I., & Angelova, G. (2017). Mining Association Rules from Clinical Narratives. In Proceedings of the International Conference Recent Advances in Natural Language Processing, RANLP 2017 (pp. 130-138). (SCOPUS) doi:10.26615/978-954-452-049-6_019
4. Boytcheva, S., Nikolova, I., Angelova, G., & Angelov, Z. (2017, September). Identification of Risk Factors in Clinical Texts through Association Rules. In Proceedings of the Biomedical NLP Workshop associated with RANLP 2017 (pp. 64-72). doi:/10.26615/978-954-452-044-1_009
5. Radev, I., Simov, K., Angelova, G., & Boytcheva, S. (2017, September). Annotation of Clinical Narratives in Bulgarian language. In Proceedings of the Biomedical NLP Workshop associated with RANLP 2017 (pp. 81-87). doi:10.26615/978-954-452-044-1_011
6. Boytcheva, S., Angelova, G., Angelov, Z., Tcharaktchiev, D.. (2018) Data Mining and Analytics for Exploring Bulgarian Diabetic Register. Communications in Computer and Information Science series, Volume of Selected papers from DAMDID conference, 822,pp. 19-33, Springer. ISSN:1865-0929, (SCOPUS, SJR:0.16) doi:10.1007/978-3-319-96553-6_2
7. Boytcheva, S. (2018). Exploring Interval Graphs of Rare Diseases in Retrospective Analysis of Outpatient Records. WDAM-2017. Workshop on Data Analysis in Medicine. Kalpa Publications in Computing. Volume 6, pp. 1-11. EasyChair. Online ISSN 2515-1762 doi:10.29007/l7v8
8. Tcharaktchiev, D., Boytcheva, S., Angelova, G., & Angelov, Z. (2018) Knowledge Discovery for Revieling Phenotypes from a Diabetes Register. In Proc. of MIE 2018. (to appear)
9. Димитър Чаръкчиев, Живко Събев, Галя Ангелова, Светла Бойчева, Eмануил Марков, Лъчезара Манева, Антон Величков (2018) Болестност от захарен диабет и артериална хипертония при деца и младежи до 25 годишна възраст. ХІХ-ТА НАЦИОНАЛНА КОНФЕРЕНЦИЯ ЗА ОПЛ И ПЕДИАТРИ С МЕЖДУНАРОДНО УЧАСТИЕ, 18 до 20 май 2018 г.
10. Boytcheva, S. (2018) Semantically Enhanced Frequent Events Mining in Electronic Health Records. BRAIN. Broad Research in Artificial Intelligence and Neurosciences, vol. 9 (Web of Science) (to appear)
11. Boytcheva S. (2018) Indirect Association Rules Mining in Clinical Texts. In: Agre G., van Genabith J., Declerck T. (eds) Artificial Intelligence: Methodology, Systems, and Applications. AIMSA 2018. Lecture Notes in Computer Science, vol 11089, pp. 36-47. Springer, Cham. ISSN:03029743, (SCOPUS, SJR:0.295) doi:10.1007/978-3-319-99344-7_4
12. Boytcheva S. (2018) Clinical Text Mining for Context Sequences Identification. In: Holzinger A., Kieseberg P., Tjoa A., Weippl E. (eds) Machine Learning and Knowledge Extraction. CD-MAKE 2018. Lecture Notes in Computer Science, vol 11015, pp. 223-236. Springer, Cham. ISSN:03029743, (SCOPUS, SJR:0.295) doi:10.1007/978-3-319-99740-7_15
13. Boytcheva, S., Angelova, G., Angelov, Z., Tcharaktchiev, D., and Vodenicharov, V. (2019, June). Enrichment of EHR with Linked Open Data for Risk Factors Identification. In Proceedings of the 20th International Conference on Computer Systems and Technologies (pp. 84-90). ACM International Conference Proceeding, ISBN:978-1-4503-7149-0/19/06.(SCOPUS) doi:10.1145/3345252.3345290
14. Boytcheva, S., Angelova, G., Angelov, Z., Tcharaktchiev, D., Vodenicharov, V.. Enrichment of EHR with Linked Open Data for Risk Factors Identification. Proceedings of the 20th International Conference on Computer Systems and Technologies, ACM International Conference Proceeding Series, 2019, ISBN:978-1-4503-7149-0/19/06, DOI: https://doi.org/10.1145/3345252.3345290 , pp. 84-90. Индексира се от Scopus, импакт ранг SJR (2019):0.200. Достъпна е на: https://dl.acm.org/doi/10.1145/3345252.3345290
15. Boytcheva, S., Angelova, G., Angelov, Z.. Risk Factors Extraction from Clinical Texts based on Linked Open Data. In Proc. of the International Conference Recent Advances in Natural Language Processing (RANLP) 2019, INCOMA Ltd, 2019, pp. 161-167. ISBN:978-954-452-056-4, ISSN:2603-2813, DOI: https://doi.org/10.26615/978-954-452-056-4_019 , Индексира се от Scopus, импакт ранг SJR SJR (2019):0.244 (Open access) Достъпна е на: https://acl-bg.org/proceedings/2019/RANLP%202019/pdf/RANLP019.pdf
16. Velichkov, B., Koychev., I., Boytcheva, S.. Deep Learning Contextual Models for Prediction of Sport Events Outcome from Sportsmen Interviews. In Proc. of the International Conference Recent Advances in Natural Language Processing (RANLP) 2019, INCOMA Ltd, 2019, pp. 1240-1246. ISSN:2603-2813, DOI: https://doi.org/10.26615/978-954-452-056-4_14 , Индексира се от Scopus, импакт ранг SJR SJR (2019):0.244 (Open access) Достъпна е на: https://acl-bg.org/proceedings/2019/RANLP%202019/pdf/RANLP142.pdf
17. Boytcheva, S., Velichkov, B., Velchev, G., Koychev, I.. Automatic Generation of Annotated Corpora of Diagnosis with ICD-10 codes based on Open Data and Linked Open Data. Proceedings of the 15th Conference on Computer Science and Information Systems (FedCSIS), LTA' 2020 tack, Published in IEEE Xplore Digital Library ,volume “Annals of Computer Science and Information Systems”, 2020, pp. 163-167 ISBN:978-83-955416-7-4, ISSN:2300-5963, DOI: https://doi.org/10.15439/2020F192 , Индексира се от Scopus. Достъпна е на: https://ieeexplore.ieee.org/abstract/document/9222973 както и (Open access) на: https://annals-csis.org/Volume_21/drp/pdf/192.pdf
18. Velichkov, B., Gerginov, S., Panayotov, P., Vassileva, S., Velchev, G., Koychev, I., Boytcheva, S.. Automatic ICD-10 codes association to diagnosis: Bulgarian case. In Proc. of CSBio '20: Proceedings of the Eleventh International Conference on Computational Systems-Biology and Bioinformatics, Bangkok, Thailand, 19-21 November 2020, ACM Digital Library, 2020, ISBN:978-1-4503-8823-8/20/11, DOI: https://doi.org/10.1145/3429210.3429224 Индексиран се в WoS или Scopus (Scopus) Достъпна е (Open access) на: https://dl.acm.org/doi/10.1145/3429210.3429224
19. Boris Velichkov, Gerasim Velchev, Panayot Panayotov, Simeon Gerginov, Sylvia Vassileva, Ivan Koychev, Svetla Boytcheva. Cascading Approach for Automatic ICD-10 Codes Association to Diseases in Bulgarian. International Symposium on Bioinformatics and Biomedicine (BioInfoMed 2020), 8-10 October 2020, Burgas, Bulgaria, Springer series, Индексира се от Scopus и има импакт ранг (приета за публикация)
20. Velichkov, B., Ivanova K., Hristov V., Borisov I., Peychev A., Koychev I., Boytcheva S. AI-driven Approach for Automatic Synthetic Patient Status Corpus Generation. In Proc. of the 4th International Conference on Artificial Intelligence and Virtual Reality (AIVR2020), Kumamoto, Japan, 23-25 Oct 2020, Publisher: ACM Digital Library, ISBN 978-1-4503-8823-8 DOI: https://doi.org/10.1145/3439133.3439141 Индексира се от Scopus. (в момента е под печат). Налична е версия на: https://camps.aptaracorp.com/ACM_PMS/PMS/ACM/AIVR2020/8/7800084e-2d80-11eb-8d84-166a08e17233/OUT/AIVR2020-8.html
21. Б. Величков, К. Иванова, В. Христов, И. Борисов, А. Пейчев, И. Койчев, С. Бойчева. Приложение на подходи от изкуствения интелект за автоматично генериране на синтетични записи на пациенти. "Българско списание за инженерно проектиране". Брой 42, ноември 2020, стр. 148-153. Машиностроителен факултет при Технически университет-София. ISSN 1313-7530 (Национален референтен списък на съвременни български научни издания с научно рецензиране) Достъпна е на: http://bjed.tu-sofia.bg/items/BJED-0042(2020).pdf
22. С. Бойчева. Методи за интелигентен анализ на медицински данни, Издател “ИНКОМА – НИКОЛАЙ НИКОЛОВ” ЕООД – ШУМЕН, 2020, ISBN 978-954-452-067-0 (мека подвързия), ISBN 978-954-452-068-7 (pdf)