A novel diagnostic and prognostic approach for unresponsive patients with anthroponotic cutaneous leishmaniasis using artificial neural networks.
Cutaneous leishmaniasis (CL) imposes a major health burden throughout the tropical and subtropical regions of the globe. Unresponsive cases are common phenomena occurred upon exposure to the standard drugs. Therefore, rapid detection, prognosis and classification of the disease are crucial for selec...
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| Auteurs principaux: | , , , , , , |
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| Format: | article |
| Langue: | EN |
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Public Library of Science (PLoS)
2021
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| Accès en ligne: | https://doaj.org/article/98a69b1339fe47fa9b462f85c57f7660 |
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