Details

Title

Enhancement of COVID-19 symptom-based screening with quality-based classifier optimisation

Journal title

Bulletin of the Polish Academy of Sciences Technical Sciences

Yearbook

2021

Volume

69

Issue

4

Affiliation

Kozielski, Michał : Department of Computer Networks and Systems, Silesian University of Technology, Gliwice, Poland ; Henzel, Joanna : Department of Computer Networks and Systems, Silesian University of Technology, Gliwice, Poland ; Tobiasz, Joanna : Department of Data Science and Engineering, Silesian University of Technology, Gliwice, Poland ; Gruca, Aleksandra : Department of Computer Networks and Systems, Silesian University of Technology, Gliwice, Poland ; Foszner, Paweł : Department of Graphics, Computer Vision and Digital Systems, Silesian University of Technology, Gliwice, Poland ; Zyla, Joanna : Department of Data Science and Engineering, Silesian University of Technology, Gliwice, Poland ; Bach, Małgorzata : Department of Applied Informatics, Silesian University of Technology, Gliwice, Poland ; Werner, Aleksandra : Department of Applied Informatics, Silesian University of Technology, Gliwice, Poland ; Jaroszewicz, Jerzy : Department of Infectious Diseases and Hepatology, Medical University of Silesia, Katowice, Poland ; Polańska, Joanna : Department of Data Science and Engineering, Silesian University of Technology, Gliwice, Poland ; Sikora, Marek : Department of Computer Networks and Systems, Silesian University of Technology, Gliwice, Poland

Authors

Keywords

classification ; classification quality ; screening ; COVID-19

Divisions of PAS

Nauki Techniczne

Coverage

e137349

Bibliography

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Date

17.05.2021

Type

Article

Identifier

DOI: 10.24425/bpasts.2021.137349

Source

Bulletin of the Polish Academy of Sciences: Technical Sciences; Early Access; e137349
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