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Predictive classification and regression models for bioimpedance vector analysis: Insights from a southern Cuban cohort Cover

Predictive classification and regression models for bioimpedance vector analysis: Insights from a southern Cuban cohort

Open Access
|Aug 2025

Authors

Jose Luis García Bello

jgarcia44@uasd.edu.do

Autonomous University of Santo Domingo (UASD), San Francisco de Macorís Campus, Dominican Republic

Taira Batista Luna

Autonomous University of Santo Domingo (UASD), UASD Nagua Center, Dominican Republic

My Phuong Pham-Ho

Faculty of Chemical Engineering, Ho Chi Minh City University of Technology (HCMUT), Ho Chi Minh City, Vietnam
Vietnam National University Ho Chi Minh City, Ho Chi Minh City, Vietnam

Minh Tho Nguyen

Lab. for Chem. Comput. and Modelling, Institute for Comput. Science and Art. Intell., Van Lang University, Ho Chi Minh City, Vietnam
Faculty of Applied Technology, School of Technology, Van Lang University, Ho Chi Minh City, Vietnam

Alcibíades Lara Lafargue

National Center for Applied Electromagnetism (CNEA), Universidad de Oriente, Santiago de Cuba, Cuba

Héctor Manuel Camué Ciria

National Center for Applied Electromagnetism (CNEA), Universidad de Oriente, Santiago de Cuba, Cuba

Yohandys A. Zulueta

yzulueta@uo.edu.cu

Departamento de Física, Facultad de Ciencias Naturales y Exactas, Universidad de Oriente, Santiago de Cuba, Cuba
Language: English
Page range: 89 - 98
Submitted on: Jan 10, 2025
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Published on: Aug 4, 2025
Published by: University of Oslo
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2025 Jose Luis García Bello, Taira Batista Luna, My Phuong Pham-Ho, Minh Tho Nguyen, Alcibíades Lara Lafargue, Héctor Manuel Camué Ciria, Yohandys A. Zulueta, published by University of Oslo
This work is licensed under the Creative Commons Attribution 4.0 License.