Purpose of the development: Creating and using decision support systems for the diagnosis of cancer pathology. The use of mathematical methods and algorithms for early diagnosis of cancer. Getting the picture of the disease. Creation of tools for a more accurate diagnosis.

Recommended application field: Medicine - Institute of Oncology Problems, Research Institute of Experimental Surgery and Transplantation.

Advantages over analogues: Crucial early diagnosis of cancer. The methods of computer diagnosis of cancer based on the effect of deviations and morphometric parameters densiometrichnih interphase nuclei of cells in patients. We classify the stage of the disease. Studied ultrasound images and doppelegramy for the differential diagnosis and evaluation of the quality of patient care. Constructed and investigated mathematical model of tumor development. The development has no analogues in some areas.

The development stage readiness: tested in laboratory condition

Description of the development:
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- obtain scrapings from the mucous membrane of the mouth of the patient; Feulgen reaction; - construction skanogram; - calculation of the densitometer and morphometric parameters skanogram; - the use of geometric and statistical pattern recognition methods for diagnosis. Testing: Diagnosis of breast cancer and 103 patients fibroadenomatosis: The accuracy of - 94%. The specificity of the method - 91%. Diagnosis of thyroid cancer in 60 patients: thyroid adenocarcinoma (14 patients) autotireoidit (29 patients) nodular goiter (17 patients) The accuracy - 100%. Method Specificity - 90%.

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Country Ukraine

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E-mail: gal@uintei.kiev.ua