Naive Bayesian prediction of bleeding after heart by-pass surgery

Smith, I; Lister, R; Ray, M; Hawson, G

Naive Bayesian prediction of bleeding after heart by-pass surgery

Smith, I Lister, R

Ray, M Hawson, G

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Publication Type:: Conference Proceeding
Citation:: ANZIIS 2001 - Proceedings of the 7th Australian and New Zealand Intelligent Information Systems Conference, 2001, pp. 317 - 321
Issue Date:: 2001-01-01

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Field	Value	Language
dc.contributor.author	Smith, I	en_US
dc.contributor.author	Lister, R https://orcid.org/0000-0001-5780-0445	en_US
dc.contributor.author	Ray, M	en_US
dc.contributor.author	Hawson, G	en_US
dc.date.issued	2001-01-01	en_US
dc.identifier.citation	ANZIIS 2001 - Proceedings of the 7th Australian and New Zealand Intelligent Information Systems Conference, 2001, pp. 317 - 321	en_US
dc.identifier.isbn	1740520610	en_US
dc.identifier.isbn	9781740520614	en_US
dc.identifier.uri	http://hdl.handle.net/10453/2625
dc.description.abstract	© 2001 ARCME, Univ of WA. Excessive post-operative bleeding occurs in approximately one out of eight patients who undergo heart bypass surgery. Earlier workers have identified laboratory parameters that are correlated with post-operative blood loss but these correlations are not strong enough to be clinically useful. This paper describes a predictor that combines several of these parameters using Naive Bayesian Reasoning, to produce a clinically useful predictor of blood loss.	en_US
dc.relation.ispartof	ANZIIS 2001 - Proceedings of the 7th Australian and New Zealand Intelligent Information Systems Conference	en_US
dc.relation.isbasedon	10.1109/ANZIIS.2001.974097	en_US
dc.title	Naive Bayesian prediction of bleeding after heart by-pass surgery	en_US
dc.type	Conference Proceeding
utslib.for	130212 Science, Technology and Engineering Curriculum and Pedagogy	en_US
dc.location.activity	Perth, WA	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney/Strength - HCTD - Human Centred Technology Design
utslib.copyright.status	open_access
pubs.publication-status	Published	en_US

Abstract:

© 2001 ARCME, Univ of WA. Excessive post-operative bleeding occurs in approximately one out of eight patients who undergo heart bypass surgery. Earlier workers have identified laboratory parameters that are correlated with post-operative blood loss but these correlations are not strong enough to be clinically useful. This paper describes a predictor that combines several of these parameters using Naive Bayesian Reasoning, to produce a clinically useful predictor of blood loss.

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http://hdl.handle.net/10453/2625