Data Mining Techniques : To Predict and Resolve Breast Cancer Survivability

@inproceedings{Chaurasia2014DataMT,
  title={Data Mining Techniques : To Predict and Resolve Breast Cancer Survivability},
  author={Vikas Chaurasia and Saurabh Pal},
  year={2014}
}
Breast cancer is one of the deadliest disease, is the most common of all cancers and is the leading cause of cancer deaths in women worldwide, accounting for >1.6% of deaths and case fatality rates are highest in low-resource countries. The breast cancer risks are broadly classified into modifiable and non –modifiable factors. The non modifiable risk factors are age, gender, number of first degree relatives suffering from breast cancer, menstrual history, age at menarche and age at menopause… CONTINUE READING
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