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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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-12-01
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| Series: | Clinical Nutrition Open Science |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2667268524001013 |
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