Naive Bayesian prediction of bleeding after heart by-pass surgery

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