Published November 2012 | Version v1
Journal article

Applications of Machine learning in Prediction of Breast Cancer Incidence and Mortality

  • 1. Radiation Safety Dep. NCNSRC., Atomic Energy Authority, 3, Ahmed El Zomor St., P.Code 11762, P. O. Box 7551 Nasr City, Cairo (Egypt)

Description

Breast cancer is one of the leading causes of cancer deaths for the female population in both developed and developing countries. In this work we have used the baseline descriptive data about the incidence (new cancer cases) of in situ breast cancer among Wisconsin females. The documented data were from the most recent 12-years period for which data are available. Wiscons in cancer incidence and mortality (deaths due to cancer) that occurred were also considered in this work. Artificial Neural network (ANN) have been successfully applied to problems in the prediction of the number of new cancer cases and mortality. Using artificial intelligence (AI) in this study, the numbers of new cancer cases and mortality that may occur are predicted.

Additional details

Publishing Information

Journal Title
Arab Journal of Nuclear Sciences and Applications
Journal Volume
45
Journal Issue
4
Journal Page Range
p. 193-200
ISSN
1110-0451
CODEN
AJNADV

INIS

Country of Publication
Egypt
Country of Input or Organization
Egypt
INIS RN
45004984
Subject category
S62: RADIOLOGY AND NUCLEAR MEDICINE;
Descriptors DEI
ARTIFICIAL INTELLIGENCE; FEMALES; FORECASTING; MAMMARY GLANDS; MORTALITY; NEOPLASMS; NEURAL NETWORKS; POPULATIONS
Descriptors DEC
BODY; DISEASES; GLANDS; ORGANS