Methods of classifi cation of drugs for the treatment of hepatitis by degree of eff ectiveness

Astafyev Andrei Nikolaevich

The paper deals with a mathematical model of a neural network that assesses the effectiveness of drugs used to treat hepatitis by periodically assessing the patient's condition. The paper analyzes the use of a neural network trained by a recurrent algorithm to assess the effectiveness of drugs. Input data were selected and analyzed for use in the assessment of the state, the output values were selected to assess the degree of efficiency. The contribution of individual input factors to the output values of the system was compared.

Keywords:neural network, evaluation of treatment effectiveness, decision support system, data classification