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Exploring Clustering Based Knowledge Discovery towards Improved Medical Diagnosis
2014
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval
We propose to develop a framework for an intelligent reasoner with capabilities that support complex decision making processes in medical diagnosis. Identifying the causes, reasoning the effects to explore information geometry and learning the associated factors, from medical forum information extracted, are the core aspects of this work. As part of the proposed framework, we present an approach that identifies semantically similar causes and effects for any specific disease from medical
dblp:conf/sigir/PrasathO14
fatcat:3tpte3kfmbhxjape2wlskl63ye