To identify data-driven body composition phenotypes in patients with moderate-to-extreme anorexia nervosa using machine learning clustering of bioelectrical impedance analysis parameters
Beyond BMI: Unsupervised Machine Learning Clustering of Bioelectrical Impedance Phenotypes Is Associated With Weight-Recovery Trajectories in Anorexia Nervosa / Cassioli E, M.G.. - In: INTERNATIONAL JOURNAL OF EATING DISORDERS. - ISSN 1098-108X. - ELETTRONICO. - (2026), pp. 0-0.
Beyond BMI: Unsupervised Machine Learning Clustering of Bioelectrical Impedance Phenotypes Is Associated With Weight-Recovery Trajectories in Anorexia Nervosa
Cassioli E;Maiolini G;D'Areglia E;Tarchi L;Rossi E;Ceccarelli V;Dani C;Zompa L;Ranieri C;Lodovici E;Ricca V;Castellini G
2026
Abstract
To identify data-driven body composition phenotypes in patients with moderate-to-extreme anorexia nervosa using machine learning clustering of bioelectrical impedance analysis parameters
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