Purpose of the development: To solve the problems of classification and prediction.

Recommended application field: In health care, for a variety of classification problems of patients and predict the outcome of treatment. In other areas to address the problems of classification and prediction, where required to obtain not only accurate, but also interpretable solutions. Used for the analysis of laboratory, clinical, epidemiological, and other medical patient data.

Advantages over analogues: There are no domestic counterparts. The developed software product conforms to international standards. The advantage of information technology implemented in the form of a software package "Hybrid" is the integrated use of methodologies, neural networks, fuzzy logic, fuzzy clustering, allowing to quickly and efficiently analyze medical data and get quite simple and easy to interpret.

The development stage readiness: Introduced in production

Technical and economic effect: The use of GNM in clinical practice should allow physicians in the early stages of therapy to classify patients into risk groups based on their individual profile and choose a more reasonable rate of induction therapy.

Description of the development:
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On the basis of information technology software package designed to ensure that the main task - to support the decision of the physician-risk patients with acute leukemia and predict its release in the end of remission induction therapy course. The developed technology allows you to extract an effective and easily interpreted by a set of decision rules to solve the problems of classification into risk groups and predict the outcome of therapy in children leykozologii. The software package "Hybrid" provides analysis of medical data based on the hybrid neural network models (GNM) for the problems of classification and prediction in children leykozologii.i obtain solutions in the form of a set of interpretive, easy-to-understand medical linguistic rules.

Possibility of transfer abroad:
Licence's sale
Combinated reduction to industrial level

Photo

Country Belarus

For additional information turn to:
E-mail: gal@uintei.kiev.ua