Development of a liver graft assessment expert machine-learning system: when the artificial intelligence helps liver transplant surgeons.

Background: The complex process of liver graft assessment is one point for improvement in liver transplantation. The main objective of this study is to develop a tool that supports the surgeon who is responsible for liver donation in the decision-making process whether to accept a graft or not using the initial variables available to it.

Material And Method: Liver graft samples candidate for liver transplantation after donor brain death were studied.

Data Mining Techniques Applied to Hydrogen Lactose Breath Test.

Objectives: Analyze a set of data of hydrogen breath tests by use of data mining tools. Identify new patterns of H2 production.

Methods: Hydrogen breath tests data sets as well as k-means clustering as the data mining technique to a dataset of 2571 patients.