University of Oulu

Stoicescu, O., Ferreira, E., Tamminen, S., Siirtola, P., Chandra, G., Veijola, R., & Röning, J. (2021). ClinFlow – An Interactive Application for Clinical Data Mining [BA]. In J. Mantas, L. Stoicu-Tivadar, C. Chronaki, A. Hasman, P. Weber, P. Gallos, M. Crişan-Vida, E. Zoulias, & O. S. Chirila, Public Health and Informatics (Vol. 281, pp. 268–272). IOS Press. https://doi.org/10.3233/SHTI210162

ClinFlow — an interactive application for clinical data mining

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Author: Stoicescu, Oana1; Ferreira, Eija1; Tamminen, Satu1;
Organizations: 1Biomimetics and Intelligent Systems Group, Faculty of Information Technology and Electrical Engineering, University of Oulu, Oulu, Finland
2PEDEGO Research Unit, Medical Research Centre, Department of Paediatrics, University of Oulu, Oulu, Finland
3Department of Children and Adolescents, Oulu University Hospital, Oulu, Finland
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 0.7 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2021070741217
Language: English
Published: IOS Press, 2021
Publish Date: 2021-07-07
Description:

Abstract

Analyzing clinical data comes with many challenges. Medical expertise combined with statistical and programming knowledge must go hand-in-hand when applying data mining methods on clinical datasets. This work aims at bridging the gap between clinical expertise and computer science knowledge by providing an application for clinical data analysis with no requirement for statistical programming knowledge. Our tool allows clinical researchers to conduct data processing and visualization in an interactive environment, thus providing an assisting tool for clinical studies. The application was experimentally evaluated with an analysis of Type 1 Diabetes clinical data. The results obtained with the tool are in line with the domain literature, demonstrating the value of our application in data exploration and hypothesis testing.

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Series: Studies in health technology and informatics
ISSN: 0926-9630
ISSN-E: 1879-8365
ISSN-L: 0926-9630
ISBN: 978-1-64368-185-6
ISBN Print: 978-1-64368-184-9
Issue: 281
Pages: 268 - 272
DOI: 10.3233/SHTI210162
OADOI: https://oadoi.org/10.3233/SHTI210162
Host publication: Public health and informatics
Host publication editor: Mantas, John
Stoicu-Tivadar, Lăcrămioara
Chronaki, Catherine
Hasman, Arie
Weber, Patrick
Gallos, Parisis
Crişan-Vida, Mihaela
Zoulias, Emmanouil
Chirila, Oana Sorina
Type of Publication: A3 Book chapter
Field of Science: 113 Computer and information sciences
217 Medical engineering
3142 Public health care science, environmental and occupational health
Subjects:
R
Copyright information: © 2021 European Federation for Medical Informatics (EFMI) and IOS Press. This article is published online with Open Access by IOS Press and distributed under the terms of the Creative Commons Attribution Non-Commercial License 4.0 (CC BY-NC 4.0).
  https://creativecommons.org/licenses/by-nc/4.0/