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Projects / Programmes source: ARIS

Insist - intelligent systems in medicine: the case of breast feeding

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Research activity

Code Science Field Subfield
2.06.10  Engineering sciences and technologies  Systems and cybernetics  Medical informatics 

Code Science Field
P176  Natural sciences and mathematics  Artificial intelligence 
Keywords
Intelligent systems, evolutionary programming, decision trees, breast feeding
Evaluation (rules)
source: COBISS
Evaluation of bibliographic research performance indicators according to ARIS methodology
Citations Citations for bibliographic records in COBIB.SI that are linked to records in citation databases
source: WoS source: Scopus source: COBISS
Researchers (2)
no. Code Name and surname Research area Role Period No. of publications
1.  03782  PhD Peter Kokol  Computer science and informatics  Head  1999 - 2001  0 
2.  17876  PhD Milan Zorman  Computer science and informatics  Researcher  1999 - 2001  0 
Organisations (1)
no. Code Research organisation City Registration number No. of publications
1.  0796  University of Maribor, Faculty of Electrical Engineering and Computer Science  Maribor  5089638003  2 
Abstract
The advantage of intelligent systems over expert systems is user friendliness and the possibility of integration in usual information systems. These characteristics make them especially valuable in the field of medicine. The aim of the proposed project is to develop new methodologies for intelligent system design based on the integration of evolutionary programming and decision trees. We will use these new methodologies in the design of a Breast feeding intelligent system aimed to experts and mothers. System will be integrated into an overall Breast feeding information system, also a product of the project being proposed.
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