Neural Network Breast Cancer Relapse Time Prognosis
2006 (English)In: ASO Summer School 2006 Abstract Book, 2006, 8-10 p.Conference paper (Other academic)
This paper is a result of a project at the Faculty of Electronics, Telecommunication and Computer Science (Technical University of Gdansk). The aim of the project was to create a neural network to predict the relapsetime of breast cancer. The neural network was to be trained on data collected over the past 20 years by dr. Jarosław Skokowski. The data includes 439 patient records described by about 40 parameters. For our neuralnetwork we only considered 6 medically most significant parameters the number of nodes showing evidence of cancer, size of tumour (in mm.), age, bloom score, estrogen receptors and proestrogen receptors and the relapsetime as the outcome. Our neural network was created in the MATLAB environment.
Place, publisher, year, edition, pages
2006. 8-10 p.
Cancer and Oncology Probability Theory and Statistics
IdentifiersURN: urn:nbn:se:uu:diva-241881OAI: oai:DiVA.org:uu-241881DiVA: diva2:781868
ASO Summer School 2006