DOIONLINE

DOIONLINE NO - IJASEAT-IRAJ-DOIONLINE-8784

Publish In
International Journal of Advances in Science, Engineering and Technology(IJASEAT)-IJASEAT
Journal Home
Volume Issue
Issue
Volume-5, Issue-3  ( Jul, 2017 )
Paper Title
Choosing Best Machine Learning Algorithm for Breast Cancer Prediction
Author Name
Meraryslan Meraliyev, Meirambek Zhaparov, Kamalkhan Artykbayev
Affilition
Computer Science Department SDU Kazakhstan
Pages
50-55
Abstract
Throughout the 20th century, views about breast cancer have drastically changed. Breast cancer is the most common cancer in women worldwide, with nearly 1.7 million new cases diagnosed in 2012. This type of cancer is the second most common cancer overall. There is lot of information and data, which give opportunity for analyzing some processes, make some researches in classification and in data mining fields, test some tools of machine learning and make experiments for tuning main methods of supervised learning. Main part of project is creating useful tool for predicting breast cancer with high accuracy before getting ill or in initial stage of disease. This work is fascinating because the goal is to implement a lot of tools for creating web system, which can make effective prediction analysis. In other word, we can anticipate the future for women diseases. Keywords- Breast Cancer, Diseases prediction, machine learning methods, scikit, Wisconsin Breast Cancer dataset.
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