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Authors: Ganesh Ram Santhanam ; Gopalakrishnan Sivaprakasam ; Giora Slutzki and Samik Basu

Affiliation: Iowa State University, United States

Keyword(s): Diagnosis, Knowledge Bases, Description Logic, Qualitative Reasoning.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Case-Based Reasoning ; Enterprise Information Systems ; Knowledge Representation and Reasoning ; Knowledge-Based Systems ; Pattern Recognition ; Symbolic Systems ; Theory and Methods

Abstract: We present a framework whereby the expert knowledge of a domain is represented as a description logic knowledge base. Based on this framework, we present an approach that uses a knowledge based system for diagnosis that allows users to key in findings for a case, and obtain the corresponding differential diagnosis for a case. The framework also prompts hypothetical findings that can effectively guide the user towards a targeted diagnosis. The framework allows iterative and interactive updates of the case specific knowledge. Computing the differential diagnosis and hypotheses can be formulated directly as conjunctive queries on the original knowledge base using the case specific knowledge. We illustrate the applicability of our framework in the context of medical diagnosis, although the approach is equally applicable in a broad range of diagnosis problems such as network forensics and criminal investigation.

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Paper citation in several formats:
Ram Santhanam, G.; Sivaprakasam, G.; Slutzki, G. and Basu, S. (2015). A Knowledge Based Framework for Case-specific Diagnosis. In Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 1: ICAART; ISBN 978-989-758-074-1; ISSN 2184-433X, SciTePress, pages 482-488. DOI: 10.5220/0005272104820488

@conference{icaart15,
author={Ganesh {Ram Santhanam}. and Gopalakrishnan Sivaprakasam. and Giora Slutzki. and Samik Basu.},
title={A Knowledge Based Framework for Case-specific Diagnosis},
booktitle={Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 1: ICAART},
year={2015},
pages={482-488},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005272104820488},
isbn={978-989-758-074-1},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 1: ICAART
TI - A Knowledge Based Framework for Case-specific Diagnosis
SN - 978-989-758-074-1
IS - 2184-433X
AU - Ram Santhanam, G.
AU - Sivaprakasam, G.
AU - Slutzki, G.
AU - Basu, S.
PY - 2015
SP - 482
EP - 488
DO - 10.5220/0005272104820488
PB - SciTePress

- Science and Technology Publications, Lda.
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