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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Detalles Bibliográficos
Autores principales: Mburu, Josephine W., Kingwara, Leonard, Ester, Magiri, Andrew, Nyerere
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6830151/
https://www.ncbi.nlm.nih.gov/pubmed/31720385
http://dx.doi.org/10.1016/j.jctube.2018.01.002

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6830151/
https://www.ncbi.nlm.nih.gov/pubmed/31720385
http://dx.doi.org/10.1016/j.jctube.2018.01.002

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