Parallel universes to improve the diagnosis of cardiac arrhythmias

arrhythmias (extended abstract) Elisa Fromont, Ren´e Quiniou, Marie-Odile Cordier We are interested in using parallel universes to learn interpretable models that can be subsequently used to automatically diagnose cardiac arrhythmias. In our study, parallel universes are heterogeneous sources such as electrocardiograms, blood pressure measurements, phonocardiograms etc. that give relevant information about the cardiac state of a patient. To learn interpretable rules, we use an inductive logic programming (ILP) method on a symbolic version of our data. Aggregating the symbolic data coming from all the sources before learning, increases both the number of possible relations that can be learned and the richness of the language. We propose a two-step strategy to deal with these dimensionality problems when using ILP. First, rules are learned independently in each universe. Second, the learned rules are used to bias a new learning process from the aggregated data. The results show that th...

• Type: Conference
• Year: 2007
• Where: DAGSTUHL
• Authors: Élisa Fromont, Rene Quiniou, Marie-Odile Cordier
• Keywords: Blood Pressure Measurements, Cardiac Arrhythmias, DAGSTUHL 2007, Parallel Universe, Software Engineering