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Use of classification and regression tree (CART), to identify hemoglobin A1C (HbA(1C)) cut-off thresholds predictive of poor tuberculosis treatment outcomes and associated risk factors

BACKGROUND: Rifampin-based therapy potentially exacerbates glycemic control among TB patients who are already at high risk of hyperglycemia. This impacts negatively to the optimal care of TB- diabetes mellitus co-affected patients. Classification and regression tree (CART), a machine-learning algori...

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Bibliografski detalji
Izdano u:J Clin Tuberc Other Mycobact Dis
Glavni autori: Mburu, Josephine W., Kingwara, Leonard, Ester, Magiri, Andrew, Nyerere
Format: Artigo
Jezik:Inglês
Izdano: Elsevier 2018
Teme:
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC6830151/
https://ncbi.nlm.nih.gov/pubmed/31720385
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jctube.2018.01.002
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