The ALARM Monitoring System: A Case Study with Two Probablistic Inference Techniques for Belief Networks

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The ALARM Monitoring System: A Case Study with Two Probablistic Inference Techniques for Belief Networks +  Has identifier

The ALARM Monitoring System: A Case Study with Two Probablistic Inference Techniques for Belief Networks +  Ksl tr id

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The ALARM Monitoring System: A Case Study with Two Probablistic Inference Techniques for Belief Networks

Bibtype  techreport

Has publishing details  1989

Has title  The ALARM Monitoring System: A Case Study with Two Probabilistic Inference Techniques for Belief Networks

Has where published  KSL-88-84

Has year  1989

Title  The ALARM Monitoring System: A Case Study with Two Probabilistic Inference Techniques for Belief Networks

Year  1989

Abstract  ALARM (A Logical Alarm Reduction Mechanism ALARM (A Logical Alarm Reduction Mechanism) is a diagnostic application used to explore probabilistic reasoning techniques in belief networks. ALARM implements an alarm message system for patient monitoring; it calculates probabilities for a differential diagnosis based on available evidence. The medical knowledge is encoded in a graphical structure connecting 8 diagnoses, 16 findings, and 13 intermediate variables. Two algorithms were applied to this belief network: (1) a message-passing algorithm by Pearl for probability updating in multiply connected networks using the method of conditioning; and (2) the Lauritzen-Spiegelhalter algorithm for local probability computations on graphical structures. The characteristics of both algorithms are analyzed and their specific applications and time complexities are shown. lications and time complexities are shown.

Author  Ingo A. Beinlich and Henri Jacques Suermondt and R. Martin Chavez and Gregory F. Cooper +

Has author  Ingo A. Beinlich and Henri Jacques Suermondt and R. Martin Chavez and Gregory F. Cooper +

Has identifier  The ALARM Monitoring System: A Case Study with Two Probablistic Inference Techniques for Belief Networks +

Institution  Knowledge Systems, AI Laboratory +

Ksl tr id  The ALARM Monitoring System: A Case Study with Two Probablistic Inference Techniques for Belief Networks +

Number  The ALARM Monitoring System: A Case Study with Two Probablistic Inference Techniques for Belief Networks +

Process note  YES +

Categories  KSL Technical Report +, Publication +, Technical Report +

 

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