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Accurate breast cancer diagnosis using a stable feature ranking algorithm

Abstract Background Breast cancer (BC) is one of the most common cancers among women. Since diverse features can be collected, how to stably select the powerful ones for accurate BC diagnosis remains challenging. Methods A hybrid framework is designed for successively investigating both feature rank...

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Principais autores: Shaode Yu, Mingxue Jin, Tianhang Wen, Linlin Zhao, Xuechao Zou, Xiaokun Liang, Yaoqin Xie, Wanlong Pan, Chenghao Piao
Formato: Artigo
Idioma:Inglês
Publicado em: BMC 2023-04-01
coleção:BMC Medical Informatics and Decision Making
Assuntos:
Breast cancer diagnosis
Feature ranking stability
Machine learning
Decision making
Acesso em linha:https://doi.org/10.1186/s12911-023-02142-2
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