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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9865003/ https://www.ncbi.nlm.nih.gov/pubmed/36675780 http://dx.doi.org/10.3390/jpm13010119 |
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author | Kenn, Michael Karch, Rudolf Singer, Christian F. Dorffner, Georg Schreiner, Wolfgang |
author_facet | Kenn, Michael Karch, Rudolf Singer, Christian F. Dorffner, Georg Schreiner, Wolfgang |
author_sort | Kenn, Michael |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-9865003 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-98650032023-01-22 Flexible Risk Evidence Combination Rules in Breast Cancer Precision Therapy Kenn, Michael Karch, Rudolf Singer, Christian F. Dorffner, Georg Schreiner, Wolfgang J Pers Med Article 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. MDPI 2023-01-05 /pmc/articles/PMC9865003/ /pubmed/36675780 http://dx.doi.org/10.3390/jpm13010119 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Kenn, Michael Karch, Rudolf Singer, Christian F. Dorffner, Georg Schreiner, Wolfgang Flexible Risk Evidence Combination Rules in Breast Cancer Precision Therapy |
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 | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9865003/ https://www.ncbi.nlm.nih.gov/pubmed/36675780 http://dx.doi.org/10.3390/jpm13010119 |
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