Predictive classification and regression models for bioimpedance vector analysis: Insights from a southern Cuban cohort
Authors
Jose Luis García Bello
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
Departamento de Física, Facultad de Ciencias Naturales y Exactas, Universidad de Oriente, Santiago de Cuba, Cuba
DOI: https://doi.org/10.2478/joeb-2025-0012 | Journal eISSN: 1891-5469
Language: English
Page range: 89 - 98
Submitted on: Jan 10, 2025
Published on: Aug 4, 2025
Published by: University of Oslo
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Related subjects:
© 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.