PREDICTING CARDIOVASCULAR RISKS - Using POSSUM, PPOSSUM and Neural Net Techniques

Thuy Nguyen Thi Thu, D. N. Davis

Abstract

Neural Networks are broadly applied in a number of fields such as cognitive science, diagnosis, and forecasting. Medical decision support is one area of increasing research interest. Ongoing collaborations between cardiovascular clinicians and computer science are looking at the application of neural networks (and other data mining techniques) to the area of individual patient diagnosis, based on clinical records (from Hull and Dundee sites). The current research looks to advance initial investigations in a number of ways. Firstly, through a rigorous analysis of the clinical data, using data mining and statistical tools, we hope to be able to extend the usefulness of much of the clinical data set. Problems with the data include differences in attribute presence and use across different sites, and missing values. Secondly we look to advance the classification of referred patients with different outcome through the rigorous use of POSSUM, PPOSSUM and both supervised and unsupervised neural net techniques. Through the use of different classifiers, a better clinical diagnostic support model may be built.

References

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Paper Citation


in Harvard Style

Nguyen Thi Thu T. and N. Davis D. (2006). PREDICTING CARDIOVASCULAR RISKS - Using POSSUM, PPOSSUM and Neural Net Techniques . In Proceedings of the Eighth International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-972-8865-42-9, pages 230-234. DOI: 10.5220/0002494202300234


in Bibtex Style

@conference{iceis06,
author={Thuy Nguyen Thi Thu and D. N. Davis},
title={PREDICTING CARDIOVASCULAR RISKS - Using POSSUM, PPOSSUM and Neural Net Techniques},
booktitle={Proceedings of the Eighth International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2006},
pages={230-234},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002494202300234},
isbn={978-972-8865-42-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Eighth International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - PREDICTING CARDIOVASCULAR RISKS - Using POSSUM, PPOSSUM and Neural Net Techniques
SN - 978-972-8865-42-9
AU - Nguyen Thi Thu T.
AU - N. Davis D.
PY - 2006
SP - 230
EP - 234
DO - 10.5220/0002494202300234