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Fractal and fractional SIS model for syphilis data
This work studies the SIS model extended by fractional and fractal derivatives. We obtain
explicit solutions for the standard and fractal formulations; for the fractional case, we study …
explicit solutions for the standard and fractal formulations; for the fractional case, we study …
Using near-infrared hyperspectral imaging combined with machine learning to predict the components and the origin of Radix Paeoniae Rubra
X Liu, Z Wu, Q Zhao, Y Yu, Z Li - Analytical Methods, 2025 - pubs.rsc.org
The efficacy and safety of drugs are closely related to the geographical origin and quality of
the raw materials. This study focuses on using near-infrared hyperspectral imaging (NIR …
the raw materials. This study focuses on using near-infrared hyperspectral imaging (NIR …
Predicting congenital syphilis: Using machine learning to enhance disease management and control
É da Silva Rocha, CM de Morais, IV Teixeira… - medRxiv, 2024 - medrxiv.org
Abstract Objective Sexually Transmitted Infections (STIs) present significant challenges to
global public health, affecting physical and mental well-being and straining healthcare …
global public health, affecting physical and mental well-being and straining healthcare …
Evaluating undersampling techniques in the prediction of potential congenital syphilis cases using real data from Pernambuco, Brazil
Syphilis can be transmitted congenitally and may cause serious consequences forthe child if
not treated. The Programa Mãe Coruja Pernambucana (PMCP) is a brazilian public health …
not treated. The Programa Mãe Coruja Pernambucana (PMCP) is a brazilian public health …
The use of Convolutional Neural Network to classify Congenital Syphilis with image representations of tabular data
LM Neto, PT Endo - 2023 - researchsquare.com
Purpose: Convolutional Neural Network (CNN) is a powerful Deep Learning (DL) model
used in healthcare for diseases classification through image analysis. Although primarily …
used in healthcare for diseases classification through image analysis. Although primarily …