SVIBOR - Project code: 3-01-478

MINISTRY OF SCIENCE AND TECHNOLOGY

Strossmayerov trg 4, HR - 10000 ZAGREB
tel.: +385 1 459 44 44, fax: +385 1 459 44 69
E-mail: ured@znanost.hr

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Project code: 3-01-478

EXPERT SYSTEM IN UROLOGY (PERSONAL CONTROL OF ONE'S OWN WORK)

Main researcher: RADOŠ, NIKOLA (97285)

Assistants

TRNSKI, DAVOR (105912)

Type of research: applied
Duration from: 01/01/95.

Papers on project (total): 0

Institution name: Bolnica "Sestre milosrdnice", Zagreb (134)

Communication: Phone: 385 (0) 01 455 05 38

Summary: The definitive diagnosis of a disease as a sum of expert knowledge and experience of the doctor additionaly depends on the philosophysical condition of the diagnostician at the moment of its making. It stands to logic that the mentioned factor as a possible negative influence on the quality of work should be reduced. The expert system as a component of the artifitial intelligence is a computer programme which performs expert tasks by using heuristic knowledge. Such a programme is determined by an algorithm which converts the input information into the control of the output information. If the diagnosis of a disease is programmed as an output, the laboratory and clinical findings as an input, and the values of the laboratory and clinical findigs are linked as an equivalent to the function of the personal control of one's own work. Thus the expert system in urology, created for each diagnosis separately, excludes the phychophysical factor as a possible negative influence on the quality of work of the person who makes the medical diagnosis. the usefulness of the control of one's own work is at least twofold: medical and economical. The control of somebody else's work opens many possibilities.

Keywords: urology, expert system, control of medical diagnosis

Research goals: The reduction of the psychophysical factor in the person who makes the medical diagnosis as a possible negative influence on the quality of his/her work is the aim of the usage of the expert system as a component of the artifitial intelligence. The final aim is the medical and economical usefulness of such control.

COOPERATION - INSTITUTIONS

Name of institution: Fakultet strojarstva i brodogradnje
Type of institution: University/Faculty
Type of cooperation: Systematic exchange of information
City: 10000 - Zagreb, Croatia

Other information about the project.


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Last update: 12/20/95
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