<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>This paper concerns the problem of diagnosing the type of cancer with the use of machine learning and statistical methods. Nowadays, the problem of neoplasms, in particular breast cancer, is one of humanity's greatest challenges. The identification of cancer and its type is extremely important. In solving this problem, classification methods can be used as objective tools that may be helpful for doctors making a diagnosis. For this reason, we discuss many efficient classifiers in the context of cancer detection. In addition, we consider the topic of data set transformations to deal with the problem of data unbalance, as well as measures of classification quality. In the experimental part, an attempt will be made to find the best classifier and to improve the quality of the original data set to obtain the highest values of classification quality measures for a particular data set.</p>
</abstract>

This paper concerns the problem of diagnosing the type of cancer with the use of machine learning and statistical methods. Nowadays, the problem of neoplasms, in particular breast cancer, is one of humanity's greatest challenges. The identification of cancer and its type is extremely important. In solving this problem, classification methods can be used as objective tools that may be helpful for doctors making a diagnosis. For this reason, we discuss many efficient classifiers in the context of cancer detection. In addition, we consider the topic of data set transformations to deal with the problem of data unbalance, as well as measures of classification quality. In the experimental part, an attempt will be made to find the best classifier and to improve the quality of the original data set to obtain the highest values of classification quality measures for a particular data set.

Classification methods in the diagnosis of breast cancer

Faculty of Mathematics and Computer Science

Biometrical Letters

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

{"article-title":"Classification methods in the diagnosis of breast cancer"}

This paper concerns the problem of diagnosing the type of cancer with the use of machine learning and statistical methods. Nowadays, the problem of neoplasms,...

Classification methods in the diagnosis of breast cancer

Online veröffentlicht: 30. Dez. 2022

Seitenbereich: 99 - 126

DOI: https://doi.org/10.2478/bile-2022-0008

Schlüsselwörter
cancer, breast cancer, classification, classifier, unbalanced data, quality measurements of classification

© 2022 Anna Magdalena Ogłoszka et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Classification methods in the diagnosis of breast cancer

Online veröffentlicht: 30. Dez. 2022

Seitenbereich: 99 - 126

DOI: https://doi.org/10.2478/bile-2022-0008

Schlüsselwörtercancer, breast cancer, classification, classifier, unbalanced data, quality measurements of classification

© 2022 Anna Magdalena Ogłoszka et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Schlüsselwörter
cancer, breast cancer, classification, classifier, unbalanced data, quality measurements of classification