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V Rajkovic

Publications and source records attributed to V Rajkovic.

7 recordsLinked to original sources

Evaluation of rat thyroid gland morphophysiological status after three months exposure to 50 Hz electromagnetic field.

Objective of our study was to use morphophysiological criteria in order to determine the sensitivity of male rat thyroid gland to an extremely low frequency electromagnetic field (ELF-EMF) influence and the ability of the gland to repair after period of exposure. Animals were exposed to 50Hz, 50-500 microT ELF-EMF for 3 months when a part of them (group I) were sacrificed, while the rest of animals were subjected to recovery evaluation of the gland and sacrificed after 1 (group II), 2 (group III) and 3 (group IV) weeks. Histological and stereological analyses were performed on paraffin and semifine thyroid gland sections. Serum T3 and T4 were also determined. Histological and stereological analyses showed that the volume density of follicular epithelium and thyroid activation index decreased, while the volume density of colloid and capillary network increased in group I, II and III. The values of all these parameters in group IV were similar to corresponding controls. Serum T3 and T4 concentrations were significantly lower in all exposed animals, except in group I. Results of this study demonstrate that after significant morphophysiological changes caused by ELF-EMF exposure thyroid gland recovered morphologically, but not physiologically, during the investigated repair period.

Animals↗

Applications of qualitative multi-attribute decision models in health care.

Hierarchical decision models are a general decision support methodology aimed at the classification or evaluation of options that occur in decision-making processes. They are also important for the analysis, simulation and explanation of options. Decision models are typically developed through the decomposition of complex decision problems into smaller and less complex subproblems; the result of such decomposition is a hierarchical structure that consists of attributes and utility functions. This article presents an approach to the development and application of qualitative hierarchical decision models that is based on DEX, an expert system shell for multi-attribute decision support. The distinguishing characteristics of DEX are the use of qualitative (symbolic) attributes, and 'if-then' decision rules. Also, DEX provides a number of methods for the analysis of models and options, such as selective explanation and what-if analysis. We demonstrate the applicability and flexibility of the approach presenting four real-life applications of DEX in health care: assessment of breast cancer risk, assessment of basic living activities in community nursing, risk assessment in diabetic foot care, and technical analysis of radiogram errors. In particular, we highlight and justify the importance of knowledge presentation and option analysis methods for practical decision-making. We further show that, using a recently developed data mining method called HINT, such hierarchical decision models can be discovered from retrospective patient data.

Breast Neoplasms↗

Hierarchical multi-attribute decision models and their application in health care.

Hierarchical decision models are developed through decomposition of complex decision problems into smaller and less complex subproblems. They are aimed at the classification or evaluation of options and can be used for analysis, simulation and explanation. This paper presents a set of methods for the construction and application of qualitative hierarchical decision models in health care. We present the results of four ongoing projects in oncology, radiology, community nursing and diabetic foot treatment.

Breast Neoplasms↗

The development and testing of information system for community nursing.

The paper presents the development and testing of information system (IS) for community nursing (CN). The goal of IS is to support CN practice and to encourage research and development in the field. The development was based on analysis of CN process. Principal functions of CN were analysed. The logical data model and corresponding user interface were designed. A special emphasis in the development process was put on testing in practice and users' training. The developed IS will: increase work efficiency, introduce process-oriented nursing doctrine, support integrated treatment of the subjects and enable data comparison and exchange. An important subsidary goal of the IS development and usage is the harmonisation of concepts and terminology used in Slovenia with those used in the EU. In this framework International Classification of Nursing Practice (ICNP) which was translated into Slovene was introduced and tested.

Community Health Nursing↗