Orthogonal search-based rule extraction for modelling the decision to transfuse.
Data from an audit relating to transfusion decisions during intermediate or major surgery were analysed to determine the strengths of certain factors in the decision making process. The analysis, using orthogonal search-based rule extraction (OSRE) from a trained neural network, demonstrated that the risk of tissue hypoxia (ROTH) assessed using a 100-mm visual analogue scale, the haemoglobin value (Hb) and the presence or absence of on-going haemorrhage (OGH) were able to reproduce the transfusion decisions with a joint specificity of 0.96 and sensitivity of 0.93 and a positive predictive value of 0.9. The rules indicating transfusion were: 1. ROTH > 32 mm and Hb < 94 g x l(-1); 2. ROTH > 13 mm and Hb < 87 g x l(-1); 3. ROTH > 38 mm, Hb < 102 g x l(-1) and OGH; 4. Hb < 78 g x l(-1).
Senior Lecturer, School of Computing and Mathematical Sciences, Liverpool John Moores University, UK.
T A
TA
Etchells
M J
MJ
Harrison
D016063:Blood Loss, Surgical; D001803:Blood Transfusion; D015687:Cell Hypoxia; D003657:Decision Making; D003661:Decision Support Techniques; D006454:Hemoglobins / Q000032:analysis; D006801:Humans; D007430:Intraoperative Care / Q000379:methods*; D008485:Medical Audit; D016571:Neural Networks, Computer; D012307:Risk Factors; D012680:Sensitivity and Specificity
D006454:Hemoglobins