id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_wxey53wxabaypntkz5udnu2ohu	Octavian Arsene	Medicine expert system dynamic Bayesian Network and ontology based	2011	3	.pdf	application/pdf	1566	145	53	Medicine expert system dynamic Bayesian Network and ontology based Medicine expert system dynamic Bayesian Network and ontology based The paper proposes an application framework to be used for medicine assisted diagnosis based on ontology and Bayesian Network (DBNO). The uncertainty model is Bayesian Network and the probabilities of the variables states are stored in a profile repository. The main goal of the paper is to propose an application framework as a collaborative expert system for creating, developing and The proposed model is implemented as a software using PROTEGE as an ontology framework, NETICA API model is based on the fact that each concept defined into ontology Section 2 briefly introduces the ontology concept, the knowledge representation and the implementation of the medicine The proposed ontology addresses the medicine domain. The purpose on the proposed ontology is to be knowledge representation of the medicine domain	./cache/work_wxey53wxabaypntkz5udnu2ohu.pdf	./txt/work_wxey53wxabaypntkz5udnu2ohu.txt