Analysis of Breast Cancer Images/Data Set Based on Procedure Codes and Exam Reasons

D. Prabha () and M. G. Dinesh
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D. Prabha: Sri Krishna College of Engineering and Technology, Department of CSE
M. G. Dinesh: Anna University

A chapter in New Trends in Computational Vision and Bio-inspired Computing, 2020, pp 1317-1324 from Springer

Abstract: Abstract The abnormal growth of cells known as malignant tumors and also called as breast cancer. These types of tumors will affect other the entire body. Different types of cancer prevailing in the human body, the medical or scientific world are not sure about the exact cause of the disease. In this paper dataset are analyzed by the report by using screening mammogram, malignant neoplasm by using exam reasons and procedure codes. The classification rules are generated to represent the relationship between procedure code and exam reasons.

Keywords: Breast cancer; Benign neoplasm; Classification; Data mining; Malignant neoplasm; Screening mammogram (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-41862-5_134

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DOI: 10.1007/978-3-030-41862-5_134

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