Data Mining Techniques for Early Detection of Breast Cancer

被引：1

作者：

Cruz, Maria Ines ^{[1
]}

Bernardino, Jorge ^{[1
,2
]}

机构：

[1] Polytech Coimbra ISEC, Rua Pedro Nunes, P-3030199 Coimbra, Portugal

[2] Univ Coimbra, CISUC Ctr Informat & Syst, P-3030290 Coimbra, Portugal

来源：

KDIR: PROCEEDINGS OF THE 11TH INTERNATIONAL JOINT CONFERENCE ON KNOWLEDGE DISCOVERY, KNOWLEDGE ENGINEERING AND KNOWLEDGE MANAGEMENT - VOL 1: KDIR | 2019年

关键词：

Data Mining; Cancer; Breast Cancer; Biomarkers; Ensemble;

D O I：

10.5220/0008346504340441

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Nowadays, millions of people around the world are living with the diagnosis of cancer, so it is very important to investigate some forms of detection and prevention of this disease. In this paper, we will use an ensemble technique with some data mining algorithms applied to a dataset related to the diagnosis of breast cancer using biological markers found in routine blood tests, in order to diagnose this disease. From the results obtained, it can be verified that the model got an AUC of 95% and a precision of 87%. Thus, through this model it is possible to create new screening tools to assist doctors and prevent healthy patients from having to undergo invasive examinations.

引用

页码：434 / 441

页数：8

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