The continuously increasing cost of the US healthcare system has received significant
attention. Central to the ideas aimed at curbing this trend is the use of technology in the form …

Objectives Temporal abstraction (TA) of clinical data aims to abstract and interpret clinical
data into meaningful higher-level interval concepts. Abstracted concepts are used for …

Continuous time Bayesian networks are used to diagnose cardiogenic heart failure and to
anticipate its likely evolution. The proposed model overcomes the strong modeling and …

Background Home telemonitoring has developed considerably over recent years in chronic
diseases in order to improve communication between healthcare professionals and patients …

For many clinical problems in patients the underlying pathophysiological process changes
in the course of time as a result of medical interventions. In model building for such …

Theoretical models of personality disorders can be complex and multifaceted, making it
difficult to validate such models in a comprehensive, empirical fashion. One such model of …

Probabilistische Datenbanken und Wissensbasen werden immer wichtiger in der
Wissenschaft und Industrie. Sie werden ständig mit neuen Daten erweitert, angetrieben …

Bayesian Networks (BNs) is one of the most effective theoretical models applied to make
medical diagnostic decisions. In particular, it has been applied to Thalassemia, which is one …

The monitoring of ionic dialysance in hemodialysis allows early detection of arterio-venous
fistula stenosis. One limitation to the practical use of ionic dialysance is that the analysis is …

Reasoning about evolution of system in time is both an important and challenging task. We
are interested in probability distributions over time of events where often observations are …