Regression Modelling as a Basis of Clinical Decision Support

Authors: Jan Kalina
Publication year: 2021
Publication type: Konferenční příspěvek (mezinárodní konf.)
Periodical: PaKSoM 2021. Proceedings of the 3rd Virtual International Conference Path to a Knowledge Society - Managing Risks and Innovation
Projects: Predicting functional outcome in schizophrenia from multimodal neuroimaging and clinical data
Bibliographic citation: KALINA, Jan. Regression Modelling as a Basis of Clinical Decision Support. In: STANKOVIĆ, M., NIKOLIĆ, V., eds. 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, S. 97-104. ISBN 978-86-80593-72-2. Dostupné z: https://paksom.cosrec.org/wp-content/uploads/2022/02/PaKSoM2021.pdf
ID: 553224
Online record: View online record

Abstract

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.