Flexible Risk Evidence Combination Rules in Breast Cancer Precision Therapy
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Abstract
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.
References
1.
Edgar R, Domrachev M, Lash A
. Gene Expression Omnibus: NCBI gene expression and hybridization array data repository. Nucleic Acids Res. 2001; 30(1):207-10.
PMC: 99122.
DOI: 10.1093/nar/30.1.207.
View
2.
Kenn M, Cacsire Castillo-Tong D, Singer C, Karch R, Cibena M, Koelbl H
. Decision theory for precision therapy of breast cancer. Sci Rep. 2021; 11(1):4233.
PMC: 7895957.
DOI: 10.1038/s41598-021-82418-7.
View
3.
Kenn M, Karch R, Cacsire Castillo-Tong D, Singer C, Koelbl H, Schreiner W
. Decision Theory versus Conventional Statistics for Personalized Therapy of Breast Cancer. J Pers Med. 2022; 12(4).
PMC: 9028435.
DOI: 10.3390/jpm12040570.
View