Forecasting of Breast Cancer and Diabetes Using Ensemble Learning

Shraboni Rudra; Minhaz Uddin; Mohammed Minhajul Alam

doi:10.34256/ijcci1911

Shraboni Rudra Department of Computer Science East Delta University, Chittagong, Bangladesh
Minhaz Uddin Department of Computer Science East Delta University, Chittagong, Bangladesh
Mohammed Minhajul Alam Department of Computer Science East Delta University, Chittagong, Bangladesh

DOI: https://doi.org/10.34256/ijcci1911

Keywords: SVM, Adaboost, Breast Cancer, Diabetes, Orange- tool, Machine Learning

Abstract

Machine learning algorithm plays an important role in our life. It is the subset of Artificial intelligence. Recently, everyone tries to use AI or try to invent something related to AI for making life easier. In the medical field, Machine learning is used for the recognition and classification of diseases. It can classify cancer, diabetes or other diseases more accurately from datasets. So, we propose a model which is the combination of Support vector machine and Ad boost. This combine method is known as Ensemble learner. In this paper, we are predicting diabetes and breast cancer. We have used SVM for classification purpose then have applied Ad boost for boosting purposes. The number of a diabetes patient is increasing very rapidly. It causes many other diseases like kidney failure; Eye disorder etc. No medicines are invented to prevent diabetes fully. Breast cancer is increasing very rapidly between women. The cost of breast cancer treatment is very high. More researches are running on diabetes and breast cancer. We proposed our model to predict the diseases more accurately rather than the previous models.

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