Substantive Interpretation of Machine Learning Solutions by the Example of Determining the Activity of the Tuberculosis Process in Individuals with Minimal Tuberculosis Residual Changes › Research Explorer

Substantive Interpretation of Machine Learning Solutions by the Example of Determining the Activity of the Tuberculosis Process in Individuals with Minimal Tuberculosis Residual Changes

Research output: Contribution to journal › Article › peer-review

DOI

https://doi.org/10.3233/SHTI220684
Final published version

Tatyana Tyulkova
Pavel Chernavin
Nikolai Chernavin
Yuri Chugaev
Igor Chernyaev

Original language	English
Pages (from-to)	152-156
Number of pages	5
Journal	Studies in Health Technology and Informatics
Volume	295
DOIs	https://doi.org/10.3233/SHTI220684
Publication status	Published - 29 Jun 2022

ASJC Scopus subject areas

Biomedical Engineering
Health Informatics
Health Information Management

Research areas

committee machine, machine learning, tuberculosis

ID: 30538411