Machine Learning for Prediction of Relapses in Multiple Drug Resistant Tuberculosis Patients

The objective of the study: to evaluate the possibility of using machine learning algorithms for prediction of relapses in multiple drug resistant tuberculosis (MDR TB) patients.Subjects and Methods. Сlinical, epidemiological, gender, sex, social, biomedical parameters and chemotherapy parameters we...

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Bibliographic Details
Main Authors: A. S. Аlliluev, O. V. Filinyuk, E. E. Shnаyder, S. V. Аksenov
Format: Artigo
Language:Russo
Published: NEW TERRA Publishing House 2021-11-01
Series:Tuberkulez i Bolezni Lëgkih
Subjects:
tuberculosis
machine learning
multiple drug resistance
relapse
risk factors
forecast
Online Access:https://www.tibl-journal.com/jour/article/view/1586
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