Metabolomics and Machine Learning Approaches Combined in Pursuit for More Accurate Paracoccidioidomycosis Diagnoses

Metabolomics and Machine Learning Approaches Combined in Pursuit for More Accurate Paracoccidioidomycosis Diagnoses

ABSTRACT Brazil and many other Latin American countries are areas of endemicity for different neglected diseases, and the fungal infection paracoccidioidomycosis (PCM) is one of them. Among the clinical manifestations, pneumopathy associated with skin and mucosal lesions is the most frequent. PCM de...

Description complète

Enregistré dans:
Détails bibliographiques
Auteurs principaux: Estela de Oliveira Lima, Luiz Claudio Navarro, Karen Noda Morishita, Camila Mika Kamikawa, Rafael Gustavo Martins Rodrigues, Mohamed Ziad Dabaja, Diogo Noin de Oliveira, Jeany Delafiori, Flávia Luísa Dias-Audibert, Marta da Silva Ribeiro, Adriana Pardini Vicentini, Anderson Rocha, Rodrigo Ramos Catharino
Format: article
Langue:EN
Publié: American Society for Microbiology 2020
Sujets:
artificial intelligence
diagnosis
metabolomics
paracoccidioidomycosis
Microbiology
QR1-502
Accès en ligne:https://doaj.org/article/ac85687c0ff94853a2b955f83d53a6a6
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!

Internet

https://doaj.org/article/ac85687c0ff94853a2b955f83d53a6a6

Documents similaires