Medical data exploration based on the heterogeneous data sources aggregation system

• Autorzy: Opaliński Andrzej , Regulski Krzysztof , Mrzygłód Barbara , Głowacki Mirosław , Kania Aleksander , Nastałek Paweł , Celejewska-Wójcik Natalia , Bochenek Grażyna , Sładek Krzysztof

Identyfikatory

DOI

10.15439/2019F258

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

Abstrakty

EN

The paper presents the implementation and use of the IT system implemented in the Department of Pulmonology of The University Hospital in Cracow. The system integrates data from heterogeneous sources of therapy, diagnosis and medical test results of patients with Obstructive Sleep Apnea (OSA). The article presents the main architectural assumptions of the system, as well as an example of data mining analyzes based on the data served by the system. The example of the research aims to present the possibilities offered by the integration of clinical data in telemedicine and the diagnosis of patients with sleep disordered breathing that may lead to certain comorbidities and premature death.

Słowa kluczowe

EN

data mining; medical diagnostic computing; medical disorders; patient diagnosis; pneumodynamics; sleep; telemedicine

PL

eksploracja danych; obliczenia diagnostyczne; zaburzenia medyczne; diagnoza pacjenta; pneumodynamika; sen; telemedycyna

• Wydawca: Polskie Towarzystwo Informatyczne
• Czasopismo: Annals of Computer Science and Information Systems
• Rocznik: 2019
• Tom: Vol. 18
• Strony: 591--597
• Opis fizyczny: Bibliogr. 22 poz., il., tab., wykr.

Twórcy

autor

Opaliński Andrzej

• AGH University of Science and Technology, al.A.Mickiewicza 30, 30-059, Krakow, Poland

autor

Regulski Krzysztof

• AGH University of Science and Technology, al.A.Mickiewicza 30, 30-059, Krakow, Poland

autor

Mrzygłód Barbara

• AGH University of Science and Technology, al.A.Mickiewicza 30, 30-059, Krakow, Poland

autor

Głowacki Mirosław

• AGH University of Science and Technology, al.A.Mickiewicza 30, 30-059, Krakow, Poland
• The Jan Kochanowski University, ul.Zeromskiego 5, 25-001, Kielce, Poland

autor

Kania Aleksander

• II Chair of Internal Medicine, Faculty of Medicine, Jagiellonian University Medical College, Skawinska 8, 31-066, Krakow, Poland

autor

Nastałek Paweł

• II Chair of Internal Medicine, Faculty of Medicine, Jagiellonian University Medical College, Skawinska 8, 31-066, Krakow, Poland

autor

Celejewska-Wójcik Natalia

• II Chair of Internal Medicine, Faculty of Medicine, Jagiellonian University Medical College, Skawinska 8, 31-066, Krakow, Poland

autor

Bochenek Grażyna

• II Chair of Internal Medicine, Faculty of Medicine, Jagiellonian University Medical College, Skawinska 8, 31-066, Krakow, Poland

autor

Sładek Krzysztof

• II Chair of Internal Medicine, Faculty of Medicine, Jagiellonian University Medical College, Skawinska 8, 31-066, Krakow, Poland

Bibliografia

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Uwagi

1. The work was realized as a part of fundamental research financed by the Ministry of Science and Higher Education, grant no. 16.16.110.663. The research was co-financed with National Scientific Leading Center project founds. This research was supported in part by PLGrid Infrastructure.

2. Track 4: Information Systems and Technologies

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

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