Regression Modelling as a Basis of Clinical Decision Support

0553224 - ÚI 2022 RIV RS eng C - Konferenční příspěvek (zahraniční konf.)
Kalina, Jan
Regression Modelling as a Basis of Clinical Decision Support.
PaKSoM 2021. Proceedings of the 3rd Virtual International Conference Path to a Knowledge Society - Managing Risks and Innovation. Niš: Complex Systems Research Centre and Mathematical Institute of the Serbian Academy of Sciences and Arts, 2021 - (Stanković, M.; Nikolić, V.), s. 97-104. ISBN 978-86-80593-72-2.
[PaKSoM 2021: Virtual International Conference Path to a Knowledge Society - Managing Risks and Innovation /3./. Virtual (RS), 15.11.2021-16.11.2021]
Grant CEP: GA MZd(CZ) NU21-08-00432
Institucionální podpora: RVO:67985807
Klíčová slova: clinical decision making * machine learning * data mining * nonlinear regression * Big Data analytics * predictive analytics * healthcare * medical informatics * COVID-19 pandemic
Obor OECD: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
https://paksom.cosrec.org/wp-content/uploads/2022/02/PaKSoM2021.pdf

Clinical decision support systems have established their place as assistive tools helpful in particular decision making tasks related to medical care. This paper is focused on regression modelling applicable to solving clinical decision making tasks. A general overview and selected particular examples of regression applications are presented. The role of medical informatics in the recent combat against the COVID-19 pandemic is discussed as well. The authors also characterize future trends of machine learning tools within clinical decision support systems.
Trvalý link: http://hdl.handle.net/11104/0328218