Mapping of dental care in the Czech Republic: case study of graduates distribution in practice

• Autorzy: Karolyi Matěj , Šcavnický Jakub , Komenda Martin , Buďa Jan , Jurková Tereza , Mazalová Monika

Identyfikatory

DOI

10.15439/2019F69

• Konferencja: Federated Conference on Computer Science and Information Systems (14 ; 01-04.09.2019 ; Leipzig, Germany)
• Języki publikacji: EN

Abstrakty

EN

Online registers contain a large amount of data about healthcare providers in the Czech Republic. Information is available to all citizens and can be useful to patients, governmental organisations or employers. Based on these data, we are able to create a high-quality snapshot of the current state of healthcare providers. Interconnecting data from more data sources together is an interesting task, and accomplishing it enables us to ask more complex questions. This paper focuses on answering several questions about dentists in our country. A dataset from one online database was created, using automated data mining methods and a subsequent analysis. Results are presented via an online tool, which was provided to owners of the data. They reviewed our results and decided to use our findings for the presentation to the Czech government and subsequent negotiation processes. Our paper describes used methods, shows some results and outlines possibilities for further work.

Słowa kluczowe

EN

data mining; health care; data visualization; employment

PL

eksploracja danych; opieka zdrowotna; wizualizacja danych; zatrudnienie

• Wydawca: Polskie Towarzystwo Informatyczne
• Czasopismo: Annals of Computer Science and Information Systems
• Rocznik: 2019
• Tom: Vol. 18
• Strony: 599--603
• Opis fizyczny: Bibliogr. 9 poz., tab., wykr.

Twórcy

autor

Karolyi Matěj

• Faculty of Informatics, Masaryk University, Botanická 68a, Brno, 602 00, Czech Republic
• Institute of Health Information and Statistics of the Czech Republic Palackého nám. 4, 128 01, Praha 2, Czech Republic

autor

Šcavnický Jakub

• Institute of Health Information and Statistics of the Czech Republic
• Institute of Biostatistics and Analyses, Faculty of Medicine, Masaryk University - joint workplace, Palackého nám. 4, 128 01, Praha 2, Czech Republic

autor

Komenda Martin

• Institute of Health Information and Statistics of the Czech Republic
• Institute of Biostatistics and Analyses, Faculty of Medicine, Masaryk University - joint workplace, Palackého nám. 4, 128 01, Praha 2, Czech Republic

autor

Buďa Jan

• Faculty of Science, Masaryk University, Kotlářská 2, Brno, 625 00, Czech Republic

autor

Jurková Tereza

• Faculty of Science, Masaryk University, Kotlářská 2, Brno, 625 00, Czech Republic

autor

Mazalová Monika

• Faculty of Science, Masaryk University, Kotlářská 2, Brno, 625 00, Czech Republic

Bibliografia

• 1. M. Karolyi and M. Komenda, ‘PŘEHLED ELEKTRONICKÝCH INFORMAČNÍCH ZDROJŮ VE ZDRAVOTNICTVÍ ČR’, MEDSOFT 2019, p. 5.
• 2. L. Dušek, J. Mužík, M. Karolyi, M. Šalko, D. Malúšková, and M. Komenda, ‘A Pilot Interactive Data Viewer for Cancer Screening’, in Environmental Software Systems. Computer Science for Environmental Protection: 12th IFIP WG 5.11 International Symposium, ISESS 2017, Zadar, Croatia, May 10-12, 2017, Proceedings 12, 2017, pp. 173–183.
• 3. C. Vaitsis et al., ‘Standardization in medical education: review, collection and selection of standards to address’, MEFANET J., vol. 5, no. 1, pp. 28–39, Nov. 2017.
• 4. M. Komenda, M. Karolyi, C. Vaitsis, D. Spachos, and L. Woodham, ‘A Pilot Medical Curriculum Analysis and Visualization According to Medbiquitous Standards’, in 2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS), 2017, pp. 144–149.
• 5. R. Wirth, ‘CRISP-DM: Towards a standard process model for data mining’, in Proceedings of the Fourth International Conference on the Practical Application of Knowledge Discovery and Data Mining, 2000, pp. 29–39.
• 6. S. vanden Broucke and B. Baesens, Practical Web Scraping for Data Science: Best Practices and Examples with Python. Apress, 2018.
• 7. R. Mitchell, Web scraping with Python: collecting data from the modern web, First edition. Sebastopol, CA: O’Reilly Media, 2015.
• 8. L. Woodham, J. Ščavnický, M. Karolyi, and M. Komenda, ‘Interactive presentation of evaluation data in training against medical errors’, Masarykova univerzita, 2018. [Online]. Available: https://www.muni.cz/vyzkum/publikace/1476359. [Accessed: 30- Apr-2019].
• 9. M. Komenda, J. Ščavnický, P. Růžičková, M. Karolyi, P. Štourač, and D. Schwarz, ‘Similarity Detection Between Virtual Patients and Medical Curriculum Using R’, Stud. Health Technol. Inform., vol. 255, pp. 222–226, 2018.

Uwagi

1. Track 4: Information Systems and Technologies

2. Technical Session: 1st Special Session on Data Science in Health

3. Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).