title: [Expert systems in pulmonology].
abstract: Expert systems are software systems that can successfully compare to human experts. Their purpose is mostly advisory. Besides, they give explanation and advices to human experts when performing certain tasks. They are intelligent information systems, and are capable to explain and justify their conclusions. Knowledge systems are smaller software systems, and are usually less successful than human experts. Main reasons for expert systems development in medicine are: need for justification of decisions, need for enhancing performances in many uncertain relations; need for explaining of decision making process++ etc. One of the reasons of developing knowledge-based systems was that conventional statistic formalisms have not provided satisfactory solutions in medical decision making (MDM). Also, today, the relations between cases and conclusions are not universally valid. So, few causes can provide the same conclusion. Besides, data are not necessarily absolutely accurate. The area of applying expert systems is very wide: diagnosis, prognosis, education, managing etc. Basic structure of expert system consists of: knowledge, data base, inferring mechanism, explaining mechanism and user-interface. In this paper we presented several expert systems which are actually used in practice, especially in internal disciplines: Internist, Mycin, Onkocyn, DXplain.
authors.affiliation: Centar za medicinsku informatiku, Medicinski fakultel Univerziteta u Sarajevu.
authors.forename: I
authors.initials: I
authors.lastname: Masić
authors.forename: Z
authors.initials: Z
authors.lastname: Ridanović
authors.forename: H
authors.initials: H
authors.lastname: Pandza
mesh_terms: D005103:Expert Systems; D006801:Humans; D015272:Pulmonary Medicine