title: Breast cancer statistics and prediction methodology: a systematic review and analysis.
abstract: Breast cancer is a menacing cancer, primarily affecting women. Continuous research is going on for detecting breast cancer in the early stage as the possibility of cure in early stages is bright. There are two main objectives of this current study, first establish statistics for breast cancer and second to find methodologies which can be helpful in the early stage detection of the breast cancer based on previous studies. The breast cancer statistics for incidence and mortality of the UK, US, India and Egypt were considered for this study. The finding of this study proved that the overall mortality rates of the UK and US have been improved because of awareness, improved medical technology and screening, but in case of India and Egypt the condition is less positive because of lack of awareness. The methodological findings of this study suggest a combined framework based on data mining and evolutionary algorithms. It provides a strong bridge in improving the classification and detection accuracy of breast cancer data.
authors.affiliation: Department of Computer Science and Engineering, JK Lakshmipat University, Jaipur, India E-mail : ashutoshdubey123@gmail.com.
authors.forename: Ashutosh Kumar
authors.initials: AK
authors.lastname: Dubey
authors.forename: Umesh
authors.initials: U
authors.lastname: Gupta
authors.forename: Sonal
authors.initials: S
authors.lastname: Jain
mesh_terms: D001943:Breast Neoplasms / Q000453:epidemiology* / Q000401:mortality; D055088:Early Detection of Cancer; D004534:Egypt / Q000453:epidemiology; D005260:Female; D007722:Health Knowledge, Attitudes, Practice; D006801:Humans; D015994:Incidence; D007194:India / Q000453:epidemiology; D015995:Prevalence; D006113:United Kingdom / Q000453:epidemiology; D014481:United States / Q000453:epidemiology