International Research journal of Management Science and Technology

  ISSN 2250 - 1959 (online) ISSN 2348 - 9367 (Print) New DOI : 10.32804/IRJMST

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DATA MINING TECHNIQUES: TO ANTICIPATE AND ADJUDICATE BREAST CANCER SURVIVABILITY

    2 Author(s):  HARSH KUMAR , ASISH BISHNOI

Vol -  4, Issue- 1 ,         Page(s) : 238 - 252  (2013 ) DOI : https://doi.org/10.32804/IRJMST

Abstract

Abstract— 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. While the modifiable risk factors are BMI, age at first child birth, number of children, duration of breast feeding, alcohol, diet and number of abortions.

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