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A united model for diagnosing pulmonary tuberculosis with random forest and artificial neural network
Background: Pulmonary tuberculosis (PTB) is a chronic infectious disease and is the most common type of TB. Although the sputum smear test is a gold standard for diagnosing PTB, the method has numerous limitations, including low sensitivity, low specificity, and insufficient samples. Methods: The pr...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10033863/ https://www.ncbi.nlm.nih.gov/pubmed/36968608 http://dx.doi.org/10.3389/fgene.2023.1094099 |