EventsMOL2NET'22, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 8th ed.
Published
This submission belongs to the session 04. USE.DAT-08: USA-Europe Data Analysis Trends Congress, Cambridge, UK-Bilbao, Basque Country-Miami, USA, 2022. of the event MOL2NET'22, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 8th ed.
Published date
27 Dec, 2022
Academic Editor
author-avatarHumbert G. Díaz
Citation
SAMREEN NAEEM, AQIB ALI, Breast Cancer Diagnosis Using Machine Learning Techniques, in Proceedings of MOL2NET'22, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 8th ed., 1 January–15 January 2023, MDPI: Basel, Switzerland, doi: 10.3390/mol2net-08-13913
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Breast Cancer Diagnosis Using Machine Learning Techniques

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1. Southeast University, Nanjing, China, Pakistan
2. Southeast University, Nanjing, China
Abstract

Computers can analyze information faster than people but cannot make decisions. Computers of today are acquiring machine learning techniques to enhance analysis and prediction. These techniques enable expert assistance systems and enhance computer decision-making. Machine learning algorithms are assisting medical professionals in making rapid diagnoses thanks to their successful classification and diagnostic capabilities. Machine learning may be effective and is used more frequently in cancer diagnosis. The second most common disease in the world and the main reason for death among women is breast cancer. Like other malignancies, early identification of breast cancer lowers mortality. Machine learning techniques assist in diagnosing breast cancer, which calls for specialized human knowledge. With machine learning, computers can swiftly identify patterns in complex and large data sets. Due to these qualities, machine learning is frequently used to detect breast cancer.

Keywords
Breast Cancer
Classification
Machine Learning
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