Cancer predictive model derived from bioimpedance measurements using machine learning methods

Cancer predictive model derived from bioimpedance measurements using machine learning methods

Summary: Objective: This work is aimed to develop a machine learning predictions of health status derived from bioimpedance measurements of adult healthy and cancer individuals. Methods: We conducted a pilot random study containing 2881 female (1220) and male (1661) patients ranging in age between...

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Bibliographic Details
Main Authors: José Luis García Bello, Taira Batista Luna, Agustín Garzón Carbonell, Ana de la Caridad Román Montoya, Alcibíades Lara Lafargue, Héctor Manuel Camué Ciria, Yohandys A. Zulueta
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Clinical Nutrition Open Science
Subjects:
Bioimpedance
Machine learning
Biomedical parameters
Phase angle
Cancer
Online Access:http://www.sciencedirect.com/science/article/pii/S2667268524001013
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http://www.sciencedirect.com/science/article/pii/S2667268524001013

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