THE (PROBABILISTIC) LOGICAL CONTENT OF CADIAG2 - Rule-based Probabilistic Approach

David Picado Muiño

Abstract

Cadiag2 is a well-known rule-based expert system that aims at providing support for medical diagnose in internal medicine. Cadiag2 consists of a knowledge base in the form of a set of if-then rules that relate medical entities, in this paper interpreted as conditional probabilistic statements, and an inference engine constructed upon methods of fuzzy set theory. The aim underlying this paper is the understanding of the inference in Cadiag2. To that purpose we provide a (probabilistic) logical formalization of the inference of the system and check its adequacy with probability theory.

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Paper Citation


in Harvard Style

Picado Muiño D. (2010). THE (PROBABILISTIC) LOGICAL CONTENT OF CADIAG2 - Rule-based Probabilistic Approach . In Proceedings of the 2nd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-674-021-4, pages 28-35. DOI: 10.5220/0002707700280035


in Bibtex Style

@conference{icaart10,
author={David Picado Muiño},
title={THE (PROBABILISTIC) LOGICAL CONTENT OF CADIAG2 - Rule-based Probabilistic Approach},
booktitle={Proceedings of the 2nd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2010},
pages={28-35},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002707700280035},
isbn={978-989-674-021-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 2nd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - THE (PROBABILISTIC) LOGICAL CONTENT OF CADIAG2 - Rule-based Probabilistic Approach
SN - 978-989-674-021-4
AU - Picado Muiño D.
PY - 2010
SP - 28
EP - 35
DO - 10.5220/0002707700280035