Integrating landmark modeling framework and machine learning algorithms for dynamic prediction of tuberculosis treatment outcomes

M Kheirandish, D Catanzaro, V Crudu… - Journal of the …, 2022 - academic.oup.com
Objective This study aims to establish an informative dynamic prediction model of treatment
outcomes using follow-up records of tuberculosis (TB) patients, which can timely detect …
被引用次数：11 相关文章

Integrating landmark modeling framework and machine learning algorithms for dynamic prediction of tuberculosis treatment outcomes.

M Kheirandish, D Catanzaro, V Crudu… - Journal of the American …, 2022 - europepmc.org
Objective This study aims to establish an informative dynamic prediction model of treatment
outcomes using follow-up records of tuberculosis (TB) patients, which can timely detect …

[引用][C] Integrating landmark modeling framework and machine learning algorithms for dynamic prediction of tuberculosis treatment outcomes

M Kheirandish, S Zhang, D Catanzaro… - Journal of the American …, 2022 - elibrary.ru
[HTML] nih.gov

[HTML][HTML] Integrating landmark modeling framework and machine learning algorithms for dynamic prediction of tuberculosis treatment outcomes

M Kheirandish, D Catanzaro, V Crudu… - Journal of the American …, 2022 - ncbi.nlm.nih.gov
Objective This study aims to establish an informative dynamic prediction model of treatment
outcomes using follow-up records of tuberculosis (TB) patients, which can timely detect …

Integrating landmark modeling framework and machine learning algorithms for dynamic prediction of tuberculosis treatment outcomes

M Kheirandish, D Catanzaro… - Journal of the …, 2022 - pubmed.ncbi.nlm.nih.gov
Objective This study aims to establish an informative dynamic prediction model of treatment
outcomes using follow-up records of tuberculosis (TB) patients, which can timely detect …
[PDF] nsf.gov

[PDF][PDF] Integrating landmark modeling framework and machine learning algorithms for dynamic prediction of tuberculosis treatment outcomes

M Kheirandish, D Catanzaro, V Crudu, S Zhang - par.nsf.gov
Objective: This study aims to establish an informative dynamic prediction model of treatment
outcomes using follow-up records of tuberculosis (TB) patients, which can timely detect …

Integrating landmark modeling framework and machine learning algorithms for dynamic prediction of tuberculosis treatment outcomes

M Kheirandish, D Catanzaro, V Crudu… - Journal of the American …, 2022 - cir.nii.ac.jp
抄録< jats: title> Abstract</jats: title>< jats: sec>< jats: title> Objective</jats: title>< jats: p>
This study aims to establish an informative dynamic prediction model of treatment outcomes …

Integrating landmark modeling framework and machine learning algorithms for dynamic prediction of tuberculosis treatment outcomes

M Kheirandish, D Catanzaro, V Crudu… - Journal of the …, 2022 - academic.oup.com
Objective This study aims to establish an informative dynamic prediction model of treatment
outcomes using follow-up records of tuberculosis (TB) patients, which can timely detect …

Integrating landmark modeling framework and machine learning algorithms for dynamic prediction of tuberculosis treatment outcomes

M Kheirandish, DG Catanzaro, V Krudu… - Journal of the American …, 2022 - ibn.idsi.md
Objective: This study aims to establish an informative dynamic prediction model of treatment
outcomes using follow-up records of tuberculosis (TB) patients, which can timely detect …

Integrating landmark modeling framework and machine learning algorithms for dynamic prediction of tuberculosis treatment outcomes

M Kheirandish, D Catanzaro, V Crudu… - Journal of the American …, 2022 - par.nsf.gov
ObjectiveThis study aims to establish an informative dynamic prediction model of treatment
outcomes using follow-up records of tuberculosis (TB) patients, which can timely detect …