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Projects / Programmes source: ARIS

Clinical paths data mining with soft computing

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Research activity

Code Science Field Subfield
2.07.00  Engineering sciences and technologies  Computer science and informatics   

Code Science Field
P170  Natural sciences and mathematics  Computer science, numerical analysis, systems, control 
B540  Biomedical sciences  Respiratory system 
Keywords
data mining, clinical path, soft computing, knowledge extraction
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 (12)
no. Code Name and surname Research area Role Period No. of publications
1.  13982  PhD Mojca Ciglarič  Computer science and informatics  Researcher  2004 - 2005  368 
2.  17136  Vito Čehovin    Researcher  2004  14 
3.  02272  PhD Andrej Dobnikar  Computer science and informatics  Head  2004 - 2007  212 
4.  13014  MSc Irena Kadivec-Torkar  Materials science and technology  Researcher  2005 - 2007  11 
5.  10921  PhD Mitja Košnik  Microbiology and immunology  Researcher  2004  1,561 
6.  16109  PhD Uroš Lotrič  Computer science and informatics  Researcher  2004 - 2007  176 
7.  19365  PhD Matjaž Pančur  Computer science and informatics  Researcher  2004 - 2005  96 
8.  09808  PhD Jurij Šorli  Cardiovascular system  Researcher  2004  354 
9.  14300  PhD Branko Šter  Computer science and informatics  Researcher  2004 - 2007  151 
10.  02603  PhD Zoran Šušterič  Chemical engineering  Researcher  2005 - 2007  213 
11.  24861  Toni Tavčar    Researcher  2004  0 
12.  06795  PhD Mira Trebar  Computer science and informatics  Researcher  2004 - 2006  197 
Organisations (3)
no. Code Research organisation City Registration number No. of publications
1.  1539  University of Ljubljana, Faculty of Computer and Information Science  Ljubljana  1627023  16,242 
2.  1613  University Clinic of Respiratory and Allergic Diseases  Golnik  1190997  7,116 
3.  1858  SAVATECH Industrial Rubber and Tyres  KRANJ  1661205  253 
Abstract
Clinical path is set od data, that appoints medical treatment based on diagnosis. It contains data about a patient and about his treatment. Formally it means that a set of atributes determines a record of a patient. The goal of the project is to find new attributes based on known ones with the help of data mining over the data base of patients and their clinical paths. We have plan to use soft computing techniques, in particular neural networks and evolutionary algorithms. The results will be compared with those obtained with more conventional methods, for example with methods based on decision trees, nonlinear regression methods, etc. The results will be evaluated also with the criteria of medical profession.
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