Projects / Programmes
Expert system for time to complete chronic wound closure prediction
Code |
Science |
Field |
Subfield |
2.06.07 |
Engineering sciences and technologies |
Systems and cybernetics |
Biomedical technics |
Code |
Science |
Field |
B115 |
Biomedical sciences |
Biomechanics, cybernetics |
induction learning, prognostic system, chronic wounds, electrical stimulation, wound healing rate
Organisations (2)
, Researchers (6)
0309 University Rehabilitation Institute, Republic of Slovenia
no. |
Code |
Name and surname |
Research area |
Role |
Period |
No. of publicationsNo. of publications |
1. |
07895 |
Helena Benko |
|
Researcher |
2002 |
153 |
2. |
07902 |
Pavla Obreza |
|
Researcher |
2003 - 2004 |
115 |
3. |
12978 |
MSc Rajmond Šavrin |
Neurobiology |
Researcher |
2002 - 2004 |
171 |
1538 University of Ljubljana, Faculty of Electrical Engineering
no. |
Code |
Name and surname |
Research area |
Role |
Period |
No. of publicationsNo. of publications |
1. |
15620 |
PhD David Cukjati |
Systems and cybernetics |
Head |
2002 - 2004 |
54 |
2. |
14772 |
PhD Tomaž Jarm |
Systems and cybernetics |
Researcher |
2002 - 2004 |
228 |
3. |
10268 |
PhD Damijan Miklavčič |
Systems and cybernetics |
Researcher |
2002 - 2004 |
1,564 |
Abstract
Clinical information system for collecting, reviewing and processing of chronic wound healing data will be set-up. The core of the system will be an expert system for time to complete wound closure prediction based on patient, type of treatment, wound and weekly followup data. System will be tested on clinical data of chronic wound healing collected during the study. Results will be used to assess reliability of the system. Our final goal is to develop web application, which will help clinicians to choose appropriate treatment and thus to improve patient's care and reduce cost of hospitalization.