| Literature DB >> 35283490 |
A G Losev1, I E Popov1, A Yu Petrenko1, A G Gudkov2, S G Vesnin3, S V Chizhikov2,4.
Abstract
Various classification algorithms used in the diagnosis of breast cancer based on microwave radiometry data are considered. In particular, their principles of operation and the possibility of substantiating diagnoses using numerical data are discussed. A substantiation algorithm based on decision trees and a naive Bayesian classifier is presented. Examples of substantiation are given for breast cancer. © Springer Science+Business Media, LLC, part of Springer Nature 2022.Entities:
Year: 2022 PMID: 35283490 PMCID: PMC8898747 DOI: 10.1007/s10527-022-10153-y
Source DB: PubMed Journal: Biomed Eng (NY) ISSN: 0006-3398