USING ARTIFICIAL NEURAL NETWORKS TO PREDICT POSITIVE DYNAMICS IN THE TREATMENT OF TUBERCULOSIS PATIENT
ИСПОЛЬЗОВАНИЕ ИСКУССТВЕННЫХ НЕЙРОННЫХ СЕТЕЙ ДЛЯ ПРОГНОЗИРОВАНИЯ ПОЛОЖИТЕЛЬНОЙ ДИНАМИКИ ПРИ ЛЕЧЕНИИ БОЛЬНЫХ ТУБЕРКУЛЕЗОМ

M.Z. Ermolitskaya, M.Z. Ermolitskaya Institute of Automation and Control Processes
2020 Informatika i sistemy upravleniya  
R Studio program was used to develop a neural network model that predicts positive dynamics in the treatment of tuberculosis patients in the hospitals. The accuracy of the presented model in the test sample is 99.4%, and the mean square error is 0.013.
doi:10.22250/isu.2020.66.139-147 fatcat:3lbgb6brurg6dn356gw35o6zku