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Regression Modelling as a Basis of Clinical Decision Support
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SYSNO ASEP 0553224 Document Type C - Proceedings Paper (int. conf.) R&D Document Type Conference Paper Title Regression Modelling as a Basis of Clinical Decision Support Author(s) Kalina, Jan (UIVT-O) RID, SAI, ORCID Source Title 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. - ISBN 978-86-80593-72-2 Pages s. 97-104 Number of pages 8 s. Publication form Print - P Action PaKSoM 2021: Virtual International Conference Path to a Knowledge Society - Managing Risks and Innovation /3./ Event date 15.11.2021 - 16.11.2021 VEvent location Virtual Country RS - Serbia Event type WRD Language eng - English Country RS - Serbia Keywords clinical decision making ; machine learning ; data mining ; nonlinear regression ; Big Data analytics ; predictive analytics ; healthcare ; medical informatics ; COVID-19 pandemic Subject RIV IN - Informatics, Computer Science OECD category Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8) R&D Projects NU21-08-00432 GA MZd - Ministry of Health (MZ) Institutional support UIVT-O - RVO:67985807 Annotation 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. Workplace Institute of Computer Science Contact Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800 Year of Publishing 2022 Electronic address https://paksom.cosrec.org/wp-content/uploads/2022/02/PaKSoM2021.pdf
Number of the records: 1