Paper Title
Enhanced Breast Cancer Prediction Using Advanced Machine Learning Techniques
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Registration ID: IJNRD_226206
Published ID: IJNRD2408305
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Keywords
Prediction Method, Breast Cancer, Effectiveness, Efficiency, Machine Learning.
Abstract
As much as today breast cancer still ranks among some of the diseases that are common among women and are linked to clinical, lifestyle, and other social and/or economic factors. This means that employing machine learning, it is possible to predict breast cancer based on traits which are hidden deeply in data. In the case of a breast cancer detection in its preliminary stages, it will be wise to incorporate classification, clustering techniques, and feature selection among the other machine learning techniques. Reduce mortality and improve domestic and international health care delivery systems. The purpose of the research is therefore to develop a prediction model that will help in predicting the existence of breast cancer at its preliminary stage which is the use of classification and clustering. A great performance analysis of many health indicators, such as accuracy, True Positive Rate, False Positive Rate, Root Mean Square Error, precision, recall, etc., has been conducted.
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How To Cite (APA)
Gourav Kumar Dhiman & Er. Shivani Rana (August-2024). Enhanced Breast Cancer Prediction Using Advanced Machine Learning Techniques. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(8), d44-d52. https://ijnrd.org/papers/IJNRD2408305.pdf
Issue
Volume 9 Issue 8, August-2024
Pages : d44-d52
Other Publication Details
Paper Reg. ID: IJNRD_226206
Published Paper Id: IJNRD2408305
Research Area: Computer Science & TechnologyÂ
Author Type: Indian Author
Country: Hamirpur, Himachal Pradesh, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2408305.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2408305
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