Evaluating Machine Learning Models for Predicting Late Leprosy Diagnosis by Physical Disability Grade in Brazil (2018–2022)

Evaluating Machine Learning Models for Predicting Late Leprosy Diagnosis by Physical Disability Grade in Brazil (2018–2022)

The severity of physical disability at leprosy diagnosis reflects the timeliness of case detection and the effectiveness of disease surveillance. This study evaluates machine learning models to predict factors associated with late leprosy diagnosis—defined as grade 2 physical disability (G2D)—in Bra...

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Bibliographic Details
Main Authors: Lucia Rolim Santana de Freitas, José Antônio Oliveira de Freitas, Gerson Oliveira Penna, Elisabeth Carmen Duarte
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Tropical Medicine and Infectious Disease
Subjects:
leprosy
risk factors
disability
neglected diseases
machine learning
epidemiology
Online Access:https://www.mdpi.com/2414-6366/10/5/131
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