Abstract
The article covers the formalization of time-dependent and time-independent data of various origins of the investigated object, which are necessary for personalization of patient’s data in the process of seeking an individual approach to choosing a treatment strategy. This allowed to simulate the warehouse of the state of the object being studied in time, as the Euclidean warehouse. The mathematical model of States` warehouse is constructed, which is a vector-matrix form for the recording of a system of differential equations of the first order. The analysis is made of the application of methods of cluster analysis, Bayesian approach and decision trees for finding personalized decisions about treatment and improvement of the general state of the patient.
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