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Authors: Thuy Nguyen Thi Thu and D. N. Davis

Affiliation: Hull University, United Kingdom

Keyword(s): Risk Assessment, POSSUM, PPOSSUM, Neural network.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Biomedical Engineering ; Biomedical Signal Processing ; Business Analytics ; Computational Intelligence ; Data Engineering ; Data Mining ; Databases and Information Systems Integration ; Datamining ; Enterprise Information Systems ; Health Engineering and Technology Applications ; Health Information Systems ; Human-Computer Interaction ; Methodologies and Methods ; Neural Network Software and Applications ; Neural Networks ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Signal Processing ; Soft Computing ; Strategic Decision Support Systems ; Theory and Methods

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 ne ural net techniques. Through the use of different classifiers, a better clinical diagnostic support model may be built. (More)

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Paper citation in several formats:
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 1: ICEIS; ISBN 978-972-8865-42-9; ISSN 2184-4992, SciTePress, pages 230-234. DOI: 10.5220/0002494202300234

@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 1: ICEIS},
year={2006},
pages={230-234},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002494202300234},
isbn={978-972-8865-42-9},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the Eighth International Conference on Enterprise Information Systems - Volume 1: ICEIS
TI - PREDICTING CARDIOVASCULAR RISKS - Using POSSUM, PPOSSUM and Neural Net Techniques
SN - 978-972-8865-42-9
IS - 2184-4992
AU - Nguyen Thi Thu, T.
AU - N. Davis, D.
PY - 2006
SP - 230
EP - 234
DO - 10.5220/0002494202300234
PB - SciTePress