This paper is published in Volume-7, Issue-4, 2021
Area
Computer Science
Author
Sanath Kumar A.
Org/Univ
N. M. A. M. Institute of Technology, Nitte, Karkala, Karnataka, India
Keywords
Breast Cancer, Machine Learning Model
Citations
IEEE
Sanath Kumar A.. Breast Cancer Prediction using Machine Learning model, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Sanath Kumar A. (2021). Breast Cancer Prediction using Machine Learning model. International Journal of Advance Research, Ideas and Innovations in Technology, 7(4) www.IJARIIT.com.
MLA
Sanath Kumar A.. "Breast Cancer Prediction using Machine Learning model." International Journal of Advance Research, Ideas and Innovations in Technology 7.4 (2021). www.IJARIIT.com.
Sanath Kumar A.. Breast Cancer Prediction using Machine Learning model, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Sanath Kumar A. (2021). Breast Cancer Prediction using Machine Learning model. International Journal of Advance Research, Ideas and Innovations in Technology, 7(4) www.IJARIIT.com.
MLA
Sanath Kumar A.. "Breast Cancer Prediction using Machine Learning model." International Journal of Advance Research, Ideas and Innovations in Technology 7.4 (2021). www.IJARIIT.com.
Abstract
Day by day the number of cancer cases around the world is increasing and it has become a common health issue. One of the most commonly seen cancer is Breast cancer. It has become one of the leading causes of death. in women Breast cancer can be mainly seen in women, but it can be seen in men too. There is a belief that men cannot get breast cancer, but it is not true. Cancer can be treated only if it is detected in the initial stages, if not then it will spread to various parts of the body and its effect is irreversible and it will cause a threat to life. But most of the time it is difficult to detect cancer and also sometimes people ignore the symptoms. In this matter, artificial intelligence can be of great help. Here we have collected a set and then we have built a prediction model to detect stroke based on the different algorithms that are available on machine learning.