SOURCE-LINKED INTELLIGENCE
Beyond BMI : Unsupervised Machine Learning Clustering of Bioelectrical Impedance Phenotypes Is Associated With Weight‐Recovery Trajectories in Anorexia Nervosa
International Journal of Eating Disorders · Body Composition Measurement Techniques · University of Florence; Azienda Ospedaliero-Universitaria Careggi
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- recordType
- paper
- evidenceStatus
- metadata-reported
- region
- Global
Evidence & attribution
- OpenAlex research metadata · 2026-09-24T00:00:00.000Z
Research metadata: OpenAlex (CC0). Original paper rights remain with its publisher.
First collected: 2026-09-25T16:23:29.199Z. This is not the publication date.
Research metadata
OpenAlex record ↗ · Metadata licensed CC0; paper rights are separate.
- Citations reported by OpenAlex
- 0
- Authors
- Emanuele Cassioli; Gaia Maiolini; Eleonora D’Areglia; Livio Tarchi; Eleonora Rossi; Veronica Ceccarelli; Cristiano Dani; Luca Zompa; Chiara Ranieri; Enrico Lodovici; Anita Nannoni; Valdo Ricca; Giovanni Castellini
- Affiliations
- University of Florence (IT); Azienda Ospedaliero-Universitaria Careggi (IT)
- Topic
- Body Composition Measurement Techniques
- Venue
- International Journal of Eating Disorders
- Publication type
- article
- Retraction flag reported by OpenAlex
- Not flagged
Citation count and retraction flag reported by OpenAlex. Citations are not a quality score; affiliation countries are not study locations.