USING ARTIFICIAL NEURAL NETWORKS TO PREDICT POSITIVE DYNAMICS IN THE TREATMENT OF TUBERCULOSIS PATIENT
M.Z. Ermolitskaya
Informatika i sistemy upravleniya · 2020-01
Abstract
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.
MeSH terms
- Artificial neural network
- Tuberculosis
- Dynamics (music)
- Studio
- Mean squared error
- Sample (material)
- Computer science
- Artificial intelligence
- Statistics