ANALYSIS OF TНЕ EXAMINATION RESULTS OF PATIENTS WITH HYPERTENSION BASED ON CORRELATION INDICES AND MULTIPARAMETER NEURAL NETWORK CLASTERIZATION TO OPTIMIZE THE PROGNOSIS OF THE DISEASE AT THE PRIMARY LEVEL

Abstract

The paper exam ines prognosis methodology of the disease progression at the primary health care level. Approach is based on calculation of correlation coefficients and multiparameter neural network clasterization.