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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Main Authors: Michael Kenn, Rudolf Karch, Christian F. Singer, Georg Dorffner, Wolfgang Schreiner
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Journal of Personalized Medicine
Subjects:
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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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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