Analysis in HUGIN of Data Conflict

TL;DR

This paper discusses how to detect and analyze conflicting data within causal probabilistic networks using the HUGIN approach, with applications in medical diagnostics and methods to differentiate conflicts from rare cases.

Contribution

It introduces a conflict measure for probabilistic networks and demonstrates its application in medical diagnosis systems like MUNIN.

Findings

A measure of data conflict is defined for probabilistic networks.

Application of conflict measure in the MUNIN medical diagnostic system.

Discussion on distinguishing conflicting data from rare cases.

Abstract

After a brief introduction to causal probabilistic networks and the HUGIN approach, the problem of conflicting data is discussed. A measure of conflict is defined, and it is used in the medical diagnostic system MUNIN. Finally, it is discussed how to distinguish between conflicting data and a rare case.