Cancer cachexia prediction model

Figshare 2026 Open access

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Authors: Zhenyu Huo
DOI: 10.6084/m9.figshare.31199515
Cited by: 0

Abstract

We developed an interpretable machine learning framework to detect cancer cachexia by integrating routinely collected metabolic and inflammatory hematological features from a nationwide multicenter cohort study in China.

Fields of Study & Subjects

Nutrition and Health in Aging Inflammatory Biomarkers in Disease Prognosis Artificial Intelligence in Healthcare

Publication details

Journal / source
Figshare
Publication date
1 January 2026