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Differentiation between atypical anorexia nervosa and anorexia nervosa using machine learning.

Objective: Body mass index (BMI) is the primary criterion differentiating anorexia nervosa (AN) and atypical anorexia nervosa despite prior literature indicating few differences between disorders. Machine learning (ML) classification provides us an efficient means of accurately distinguishing betwee...

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Published in:International Journal of Eating Disorders Vol. 57; no. 4; pp. 937 - 951
Main Authors: Sandoval‐Araujo, Luis E., Cusack, Claire E., Ralph‐Nearman, Christina, Glatt, Sofie, Han, Yuchen, Bryan, Jeffrey, Hooper, Madison A., Karem, Andrew, Levinson, Cheri A.
Format: Article
Published: Wiley-Blackwell Apr2024
Subjects:
Random forest algorithms
Differential diagnosis
Body mass index
Research funding
Receiver operating characteristic curves
Questionnaires
Logistic regression analysis
Descriptive statistics
Anorexia nervosa
Computer-aided diagnosis
Machine learning
Decision trees
Comparative studies
Algorithms
Sensitivity & specificity (Statistics)
Comorbidity
Evaluation
Online Access:View this record in EBSCOhost