Comparative analysis of classification algorithms on the breast cancer recurrence using machine learning

被引：0

作者：

Mikhailova, Valentina ^{[1
]}

Anbarjafari, Gholamreza ^{[2
,3
,4
]}

机构：

[1] Institute of Technology, University of Tartu, Tartu, Estonia

[2] iCV Lab, Institute of Technology, University of Tartu, Tartu, Estonia

[3] Yildiz Technical University, Istanbul, Turkey

[4] PwC Advisory, Helsinki, Finland

来源：

Medical and Biological Engineering and Computing | 2022年 / 60卷 / 09期

关键词：

461.1 Biomedical Engineering - 716.1 Information Theory and Signal Processing - 723 Computer Software; Data Handling and Applications - 746 Imaging Techniques - 903.1 Information Sources and Analysis - 921.4 Combinatorial Mathematics; Includes Graph Theory; Set Theory - 961 Systems Science;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

引用

页码：2589 / 2600

共 5 条

[1] Breast cancer prediction and detection using data mining classification algorithms: A comparative study
Kaya Keleş, Mümine
Tehnicki Vjesnik, 2019, 26 (01): : 149 - 155
[2] Empirical Analysis of Machine Learning Algorithms for Multiclass Prediction
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Shabbir, Danial
Khan, Jumshaid
Khan, Hikmat Ullah
Naseer, Salman
Irshad, Azeem
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Wireless Communications and Mobile Computing, 2022, 2022
[3] Determination of CERES TOA fluxes using machine learning algorithms. Part I: Classification and retrieval of CERES cloudy and clear scenes
Thampi, Bijoy Vengasseril (bijoy.vengasseril.th@ssaihq.com), 2017, American Meteorological Society (34)
[4] Breast cancer: Three-class masses classification in mammograms using Apriori dynamic selection
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Kaabouch, Naima
Saidi, Mohamed Nabil
Concurrency and Computation: Practice and Experience, 2022, 34 (24)
[5] Comprehensive Investigation and Comparative Analysis of Machine Learning-Based Small-Signal Modelling Techniques for GaN HEMTs
Husain, Saddam
Hashmi, Mohammad
Ghannouchi, Fadhel M.
IEEE Journal of the Electron Devices Society, 2022, 10 : 1015 - 1032

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