Association Rule Mining to Analyze the Performance of Human Liver Cell Bioreactors Based on Donor Organ Data
W Schmidt-Heck, R Guthke, K Zeilinger, G Pless, D Driesch, M Pfaff, J Gerlach · Zeitschrift für Gastroenterologie · 2006 · Heft 01
Bibliografische Angaben
Zusammenfassung
Aim: Human liver cell bioreactors are used in extracorporeal liver support therapy (1). To optimize and standardize bioreactor operation, an early detection of the long-term culture performance is of interest. Recently, 25 variables characterizing donor organ properties, organ preservation, cell isolation and inoculation prior to bioreactor operation were analyzed in this respect using statistical and machine learning methods (2). Here, a further analysis based on association rule mining is described that also includes data characterizing the liver injury that led to the exclusion of the organ from transplantati…
