Flexible Risk Evidence Combination Rules in Breast Cancer Precision Therapy
Evidence theory by Dempster-Shafer for determination of hormone receptor status in breast cancer samples was introduced in our previous paper. One major topic pointed out here is the link between pieces of evidence found from different origins. In this paper the challenge of selecting appropriate wa...
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MDPI AG
2023-01-01
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Series: | Journal of Personalized Medicine |
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Online Access: | https://www.mdpi.com/2075-4426/13/1/119 |
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author | Michael Kenn Rudolf Karch Christian F. Singer Georg Dorffner Wolfgang Schreiner |
author_facet | Michael Kenn Rudolf Karch Christian F. Singer Georg Dorffner Wolfgang Schreiner |
author_sort | Michael Kenn |
collection | DOAJ |
description | Evidence theory by Dempster-Shafer for determination of hormone receptor status in breast cancer samples was introduced in our previous paper. One major topic pointed out here is the link between pieces of evidence found from different origins. In this paper the challenge of selecting appropriate ways of fusing evidence, depending on the type and quality of data involved is addressed. A parameterized family of evidence combination rules, covering the full range of potential needs, from emphasizing discrepancies in the measurements to aspiring accordance, is covered. The consequences for real patient samples are shown by modeling different decision strategies. |
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institution | Directory Open Access Journal |
issn | 2075-4426 |
language | English |
last_indexed | 2024-03-09T12:02:06Z |
publishDate | 2023-01-01 |
publisher | MDPI AG |
record_format | Article |
series | Journal of Personalized Medicine |
spelling | doaj.art-cf4ced3c590d4137af23e024bb1ebf3c2023-11-30T23:02:23ZengMDPI AGJournal of Personalized Medicine2075-44262023-01-0113111910.3390/jpm13010119Flexible Risk Evidence Combination Rules in Breast Cancer Precision TherapyMichael Kenn0Rudolf Karch1Christian F. Singer2Georg Dorffner3Wolfgang Schreiner4Section of Biosimulation and Bioinformatics, Center for Medical Statistics, Informatics and Intelligent Systems (CeMSIIS), Medical University of Vienna, Spitalgasse 23, 1090 Vienna, AustriaSection of Biosimulation and Bioinformatics, Center for Medical Statistics, Informatics and Intelligent Systems (CeMSIIS), Medical University of Vienna, Spitalgasse 23, 1090 Vienna, AustriaTranslational Gynecology Group, Department of Obstetrics and Gynecology Comprehensive Cancer Center, Medical University of Vienna, Waehringer Guertel 18-20, 1090 Vienna, AustriaSection for Artificial Intelligence, Center for Medical Data Science, Medical University of Vienna, Währingerstraße 25a, 1090 Vienna, AustriaSection of Biosimulation and Bioinformatics, Center for Medical Statistics, Informatics and Intelligent Systems (CeMSIIS), Medical University of Vienna, Spitalgasse 23, 1090 Vienna, AustriaEvidence theory by Dempster-Shafer for determination of hormone receptor status in breast cancer samples was introduced in our previous paper. One major topic pointed out here is the link between pieces of evidence found from different origins. In this paper the challenge of selecting appropriate ways of fusing evidence, depending on the type and quality of data involved is addressed. A parameterized family of evidence combination rules, covering the full range of potential needs, from emphasizing discrepancies in the measurements to aspiring accordance, is covered. The consequences for real patient samples are shown by modeling different decision strategies.https://www.mdpi.com/2075-4426/13/1/119evidence theorytheory of belief functionsDempster-Shafer theorybreast cancerhormone receptor statusprecision medicine |
spellingShingle | Michael Kenn Rudolf Karch Christian F. Singer Georg Dorffner Wolfgang Schreiner Flexible Risk Evidence Combination Rules in Breast Cancer Precision Therapy Journal of Personalized Medicine evidence theory theory of belief functions Dempster-Shafer theory breast cancer hormone receptor status precision medicine |
title | Flexible Risk Evidence Combination Rules in Breast Cancer Precision Therapy |
title_full | Flexible Risk Evidence Combination Rules in Breast Cancer Precision Therapy |
title_fullStr | Flexible Risk Evidence Combination Rules in Breast Cancer Precision Therapy |
title_full_unstemmed | Flexible Risk Evidence Combination Rules in Breast Cancer Precision Therapy |
title_short | Flexible Risk Evidence Combination Rules in Breast Cancer Precision Therapy |
title_sort | flexible risk evidence combination rules in breast cancer precision therapy |
topic | evidence theory theory of belief functions Dempster-Shafer theory breast cancer hormone receptor status precision medicine |
url | https://www.mdpi.com/2075-4426/13/1/119 |
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