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Information × Registration Number 0302U001036, 0100U002390 , R & D reports Title Information capacity of medical clinical datas which are calculated by means oncological database information. popup.stage_title Вивчення методами математичної статистики інформативності клініко-інструментальних показників та виявлення найбільш інформативних показників для забезпечення діагностичного процесу. Head Knigavko V.G., Registration Date 16-01-2002 Organization Grigor'ev Institut for Medical Radiology popup.description2 Subject of investigation: The totality of clinical, instrumental and physiological data accumulated by the database of cancer patients. Objectives: To determine informativity of the parameters calculated at work with the database as well as their diagnostic and prognostic significance. Меthods: One-factor and poly-factor analysis, non-parametric and descriptive statistics realized with the use of modern software for statistical analysis for IBM PC PENTIUM. Results: An expert system for diagnosis of diffuse lesions of the liver. Statistical analysis of some parameters of blood-clotting system in patients with uterine body cancer at combined and radiation treatment with cryodestruction of the tumor and without it as well as in patients with the disease relapse revealed significant differences in the parameters of the blood clotting system depending on the treatment stage. Only hematocrit index depended significantly on the stage of the disease. The tumor histological structure is responsible for signifi cant differences of the parameters of heparin plasma tolerance and fibrinogen concentration. Stable and medically adequate division of groups of indices of immune state in patients with breast and lung cancer into clusters was determined. For the first time it was proved that taking into account modern development of computer techniques, methodologically correct is selection of the data from a complete database of the hospital and their processing in standard statistical media instead of previously used individual selection of the data. Fields of application: Medicine, radiology, oncology hospitals. Product Description popup.authors popup.nrat_date 2020-04-02 Close