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Analysis of a Large Patient-Level Dataset to Predict Outcome of Treatment for Drug-Resistant Tuberculosis

2022-09-17

Abstract excerpt

<h4>ABSTRACT</h4> <h4>BACKGROUND</h4> Drug-resistant (DR) tuberculosis treatment is challenging and frequently leads to poor outcomes. An international collaboration, the National Institute of Allergy and Infectious Diseases (NIAID) TB Portals develops, maintains, and supports a multi-national database of tuberculosis cases, with an emphasis on drug-resistant tuberculosis. Patient records include clinical, radio...

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Literature Corpus work
415a2c5f-f8c8-5f89-b76d-a5dd74b4a98b
DOI
10.1101/2022.09.14.22279738
Open publication

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Analysis of a Large Patient-Level Dataset to Predict Outcome of Treatment for Drug-Resistant TuberculosisDOI 10.1101/2022.09.14.22279738
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