Projects / Programmes source: ARIS

Inteligentna analiza podatkov v medicini (Slovene)

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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
B000  Biomedical sciences   
B110  Biomedical sciences  Bioinformatics, medical informatics, biomathematics biometrics 
Keywords
medical informatics, data analysis
Evaluation (metodology)
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
Organisations (3) , Researchers (8)
0106  Jožef Stefan Institute
no. Code Name and surname Research area Role Period No. of publications
1.  02749  PhD Marko Bohanec  Computer science and informatics  Researcher  1999 - 2001  662 
2.  05806  PhD Bojan Cestnik  Computer science and informatics  Researcher  1999 - 2001  207 
3.  08949  PhD Nada Lavrač  Computer science and informatics  Head  2000 - 2001  893 
4.  12536  PhD Blaž Zupan  Computer science and informatics  Researcher  2000 - 2001  560 
0312  University Medical Centre Ljubljana
no. Code Name and surname Research area Role Period No. of publications
1.  06769  PhD Ciril Grošelj  Cardiovascular system  Researcher  1998 - 2001  85 
2.  07530  PhD Zvonka Rener-Primec  Neurobiology  Researcher  1999 - 2001  216 
1539  University of Ljubljana, Faculty of Computer and Information Science
no. Code Name and surname Research area Role Period No. of publications
1.  04242  PhD Igor Kononenko  Computer science and informatics  Researcher  1998 - 2001  476 
2.  14565  PhD Matjaž Kukar  Computer science and informatics  Researcher  1998 - 2001  232 
Abstract
The research will be focused at the development of new and improvement of existing computer methods for the analysis of clinical bases and synthesis of diagnostic and prognostic rules from descriptions of past solved cases. The developed methods will be applied in different medical problems, and adapted to the specific problem requirements. The results will contribute to the better understanding of the medical problems addressed: clinically localised prostate cancer, neurophysiological investigations, diagnosis of ischemic heart disease, anaplastic thyroid carcinoma, sports injuries, outcome prediction after severe head injury, use of FES orthotic aid after spinal cord injury, identification of diabetic patients with amputation risk, and differential diagnosis of epileptic and non-epileptic seizmes.
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