uu.seUppsala University Publications
Change search
ReferencesLink to record
Permanent link

Direct link
Neural Network Breast Cancer Relapse Time Prognosis
Gdansk University of Technology.
Gdansk University of Technology.
Gdansk University of Technology.
Medical University of Gdansk.
Show others and affiliations
2006 (English)In: ASO Summer School 2006 Abstract Book, 2006, 8-10 p.Conference paper (Other academic)
Abstract [en]

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.
National Category
Cancer and Oncology Probability Theory and Statistics
URN: urn:nbn:se:uu:diva-241881OAI: oai:DiVA.org:uu-241881DiVA: diva2:781868
ASO Summer School 2006
Available from: 2015-01-19 Created: 2015-01-19 Last updated: 2015-01-26

Open Access in DiVA

No full text

Search in DiVA

By author/editor
Bartoszek, Krzysztof
Cancer and OncologyProbability Theory and Statistics

Search outside of DiVA

GoogleGoogle Scholar

Total: 188 hits
ReferencesLink to record
Permanent link

Direct link