An Intelligent Aide for Interpreting a Patient's Dialysis Data Set

Many machines used in the modern hospital settings offer real time physiological monitoring. Haemodialysis machines combine a therapeutic treatment system integrated with sophisticated monitoring equipment. A large array of parameters can be collected including cardiovascular measures such as heart rate and blood pressure together with treatment related data including relative blood volume, ultrafiltration rate and small molecule clearance. A small subset of this information is used by clinicians to monitor treatment and plan therapeutic strategies but it is not usually analysed in any detail. The focus of this paper is the analysis of data collected over a number of treatment sessions with a view to predicting patient physiological behaviour whilst on dialysis and correlating this with clinical characteristics of individual patients. One of the commonest complications experienced by patients on dialysis is symptomatic hypotension. We have taken real time treatment data and outline a p...

• Type: Conference
• Year: 2007
• Where: AIME
• Authors: Derek H. Sleeman, Nick Fluck, Elias Gyftodimos, Laura Moss, Gordon Christie
• Keywords: AIME 2007, Artificial Intelligence, Blood Pressure, Heart Rate, Pressure Versus Rate