IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Analysis of Machine Learning Algorithms for Breast Cancer Detection

Analysis of Machine Learning Algorithms for Breast Cancer Detection
View Sample PDF
Author(s): Aswathy M. A. (VIT University, India)and Jagannath Mohan (VIT Chennai, India)
Copyright: 2020
Pages: 20
Source title: Handbook of Research on Applications and Implementations of Machine Learning Techniques
Source Author(s)/Editor(s): Sathiyamoorthi Velayutham (Sona College of Technology, India)
DOI: 10.4018/978-1-5225-9902-9.ch001

Purchase

View Analysis of Machine Learning Algorithms for Breast Cancer Detection on the publisher's website for pricing and purchasing information.

Abstract

As per the latest health ministry registries of 2017-2018, breast cancer among women has ranked number one in India and number two in United States. Despite the fact that breast cancer affects men also, pervasiveness is lower in men than women. This is the reason breast cancer is such a vital concern among ladies. Roughly 80% of cancer malignancies emerge from epithelial cells inside breast tissues. In breast cancer spectrum, ductal carcinoma in situ (DCIS) and invasive ductal carcinoma (IDC) are considered malignant cancers that need treatment and care. This chapter mainly deals with breast cancer and machine learning (ML) applications. All through this chapter, different issues related to breast cancer prognosis and early detection and diagnostic techniques using various ML algorithms are addressed.

Related Content

Vinod Kumar, Himanshu Prajapati, Sasikala Ponnusamy. © 2023. 18 pages.
Sougatamoy Biswas. © 2023. 14 pages.
Ganga Devi S. V. S.. © 2023. 10 pages.
Gotam Singh Lalotra, Ashok Sharma, Barun Kumar Bhatti, Suresh Singh. © 2023. 15 pages.
Nimish Kumar, Himanshu Verma, Yogesh Kumar Sharma. © 2023. 16 pages.
R. Soujanya, Ravi Mohan Sharma, Manish Manish Maheshwari, Divya Prakash Shrivastava. © 2023. 12 pages.
Nimish Kumar, Himanshu Verma, Yogesh Kumar Sharma. © 2023. 22 pages.
Body Bottom