Title :
An algorithm for the prediction of attendance to a breast screening unit in the UK
Author :
Arochena, H.E. ; Naguib, R.N.G. ; Todman, A. ; Wheaton, M.E. ; Wallis, M.G.
Author_Institution :
BIOCORE, Coventry Univ., UK
Abstract :
Studying data from the Coventry, Solihull and Warwickshire Breast Screening Unit in the UK, this paper concentrates on a proposal of a predictive algorithm for attendance to the screening unit under study. A comparative assessment of the performance of the proposed algorithm with well-known methods of prediction is also discussed. From the results, it can be concluded that the proposed algorithm attains a similar predictive performance to the traditional Artificial Neural Network methods, with the bonus that it is better suited for this particular application. The performance of the Logistic Regression method in general, is inferior to that of the ANN methods for this application.
Keywords :
cancer; mammography; medical administrative data processing; neural nets; statistical analysis; Coventry; Solihull; UK; Warwickshire Breast Screening Unit; breast cancer detection; breast screening unit attendance prediction algorithm; logistic regression method; traditional artificial neural network methods; Artificial neural networks; Biomedical equipment; Breast cancer; Hospitals; Information science; Logistics; Medical services; Prediction algorithms; Predictive models; Proposals;
Conference_Titel :
Engineering in Medicine and Biology, 2002. 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society EMBS/BMES Conference, 2002. Proceedings of the Second Joint
Print_ISBN :
0-7803-7612-9
DOI :
10.1109/IEMBS.2002.1134395