SVIBOR - Project code: 3-01-534

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

SVIBOR

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Project code: 3-01-534


MODELS IN MEDICINE, DIAGNOSTIC AND SIMULATION MODELS


Main researcher: KORŽINEK, KREŠIMIR (54480)


Assistants
Type of research: basic
Duration from: 07/01/95.
Papers on project (total): 61
Papers on project quoted in Current Contents: 6
Institution name: KBC, Ortopedija i fizikalna medicina, Zagreb (180)
Department/Institute: Department for orthopaedic surgery
Address: Šalata 3
City: 10000 - Zagreb, Croatia
Communication
Phone: 385 (0) 1 274 254
Summary: Modeling is used in all areas of science. Models are also widely used in biomedicine: primely as a theoretical basis for observing and defining processes and their dynamics and causality, secondly in simulations of these processes under different, either natural or experimental conditions, and finally, models make a reliable prognosis of the dynamics of biomedical systems, processes and states possible. The problem set here is complex and multidisciplinary. It includes the analysis of complex bio-systems as well as the result analysis for a single patient. Multivariant methods usually used in the analysis of variables that describe disease dynamics reduce the space, and thus inevitably a great deal of information is lost. A bio-system would be defined and developed, which would consist of bio-models. Models would be described by variables that would show high reliability and validity. The model thus defined and established would enable a maximum reduction of variables without any loss of information. It would be possible to follow the dynamics of a disease. Models would enable estimation of a reliable prognosis of the disease. Research on the utilization of the bio-system in therapy and early detection of possible complications as well as an indication of medical status would be done. It would be established which diagnostic tests reliably describe the observed diagnosis, or which diagnostic tests can be reduced in observed diseases and interpretation of medical status. The methods for the construction and use of stochastic-deterministic simulation models that describe dynamics of infectious diseases would be researched. The aim of the proposed research is simplification and optimization of the multivariant system that reliably describes certain diseases. The results of this research could be used in the health care.

Keywords: model, simulation, diagnostic model, reliability, validity, blood donor, cardiovascular diseases, dermathosis, infectious disease, orthopaedic surgery

Research goals: The proposed research would enable defining and establishing bio-models for describing the dynamics of diseases or serving as indicators of the patients' state. It would be an attempt to maximally simplify bio-system without losing any reliable information. The aim of the proposed research is to establish a bio-system that would be made of bio-models, that would enable the prediction of the outcome in the early stages of the diseases, the indication of the state, or a timely intervention on the basis of clinical data and diagnostic tests. Determination of sufficiency of diagnostic tests for a reliable description of observed diseases and peri-operative status will be done as well as for the increasing safety of blood transfusion by introducing the bio-model of an acceptable "safe" donor. Models used for simulating the dynamics of infectious diseases would enable finding out an optimal strategy for prevention and treatment of infectious diseases. By defining models of infectious diseases, that would enable simulating various interventions in the natural course such as vaccination and /or sanitation, medical education, etc., we expect to find the cheapest and most efficient programs of the epidemiological health protection. By introducing diagnostic models we would enable simpler and cheaper control and supervision of the dynamics of the diseases, an early recognition of complications or the unwanted states which in their turn would enable timely and efficient prevention of complications. In most cases it means saving or improving life. Finally, models defined and established in this research could be used in other areas of medicine.

COOPERATION - INSTITUTIONS


  1. Name of institution: Department of Primary Helth Care, University of Goteborg
    Type of institution: University/Faculty
    Type of cooperation: Joint publishing of scientific papers
    City: Goteborg, Švedska

  2. Name of institution: State university of New York, Kings County Hospital Center, Department of Pathology
    Type of institution: University/Faculty
    Type of cooperation: Joint publishing of scientific papers
    City: New York, USA

  3. Name of institution: Zavod za javno zdravstvo grada Zagreba
    Type of institution: State institute
    Type of cooperation: Joint publishing of scientific papers
    City: 10000 - Zagreb, Croatia

  4. Name of institution: Republički zavod za javno zdravstvo
    Type of institution: State institute
    Type of cooperation: Joint publishing of scientific papers
    City: 10000 - Zagreb, Croatia

  5. Name of institution: University of Vienna
    Type of institution: University/Faculty
    Type of cooperation: Joint publishing of scientific papers
    City: Beč, Austrija
Other information about the project.
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Last update: 10/15/95
Information: svibor@znanost.hr