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Enhanced System to Achieve Better Classification Performance in Forecasting Diabetes and Breast Cancer

EasyChair Preprint 2955

4 pagesDate: March 14, 2020

Abstract

Machine learning algorithm acts an important part in our life. It is the subset of Artificial intelligence. In the medical theme, Machine learning is used for the recognition and classification of diseases. It can classify breast cancer, diabetes or other diseases more perfectly from datasets. No medicines are invented to prevent diabetes and breast cancer fully. Breast cancer is increasing very promptly between women. The cost of breast cancer medicine is very extreme. Further researches are running on diabetes and breast cancer. Future our model to predict the diseases more perfectly rather than the previous models. Data place an essential act in predicting the diseases using some classification algorithms in provisions to the classifier occurrence for breast cancer and diabetes forecast.

Keyphrases: Cancer Diabetes, curriculum learning, health data

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@booklet{EasyChair:2955,
  author    = {G. Prabaharan and K. Muthupriya and K. Chairmadurai},
  title     = {Enhanced System to Achieve Better Classification Performance in Forecasting Diabetes and Breast Cancer},
  howpublished = {EasyChair Preprint 2955},
  year      = {EasyChair, 2020}}
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