Przemyslaw Wiktor Pardel
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Przemyslaw Wiktor Pardel has a total of 11 co-authors. Here are the top co-authors by number of shared publications:
- Jan G. Bazan
Faculty of Exact and Technical Science, Institute of Computer Science, University of Rzeszów, Rzeszów, Poland
2 shared publications - Stanisława Bazan-Socha
Clinical Department of Rheumatology, Immunology and Internal Medicine, University Hospital in Kraków, Kraków, Poland
2 shared publications - Sylwia Buregwa-Czuma
College of Natural Sciences, Institute of Computer Science, University of Rzeszów, Pigonia 1, 35-310 Rzeszów, Poland
2 shared publications Barbara Rewerska
II Department of Internal Medicine, Jagiellonian University Medical College, Skawinska 8, 31-066 Krakow, Poland.
1 shared publication- Barbara Sokołowska
Jagiellonian University Medical College
1 shared publication Jacek Zarychta
Pulmonary Hospital
1 shared publication
Latest Publications
- 17 November 2016
- Published by SAGE Publications in Fundamenta Informaticae
- Vol. 147 (2-3) , 193-207
The Method for Describing Changes in the Perception of Stenosis in Blood Vessels Caused by an Additional Drug
The decision making depends on the perception of the world and the proper identification of objects. The perception can be modified by various factors, that alter a way of perceiving the object even though the object is not changed (e.g., in the perc
- 17 November 2016
- Published by SAGE Publications in Fundamenta Informaticae
- Vol. 147 (2-3) , 193-207
The Method for Describing Changes in the Perception of Stenosis in Blood Vessels Caused by an Additional Drug
The decision making depends on the perception of the world and the proper identification of objects. The perception can be modified by various factors, that alter a way of perceiving the object even though the object is not changed (e.g., in the perc
- 5 July 2015
- Published by Springer Nature
- p. 95-113
Predicting the Presence of Serious Coronary Artery Disease Based on 24 Hour Holter ECG Monitoring
- 5 July 2015
- Published by Springer Nature
- p. 95-113
Predicting the Presence of Serious Coronary Artery Disease Based on 24 Hour Holter ECG Monitoring
- 1 January 2015
- Published by Springer Nature
- p. 415-424
Automatic Medical Objects Classification Based on Data Sets and Domain Knowledge
- 1 January 2015
- Published by Springer Nature
- p. 415-424
Automatic Medical Objects Classification Based on Data Sets and Domain Knowledge