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Additional file 1 of Machine learning derived risk prediction of anorexia nervosa

Year: 2016

Type: article

Abstract: Table S1. Performance of logistic regression model in 10 random shuffles. Table S2. AUCs for fraction of the training dataset (from 10 % to 90 % of the original), after rerunning 10 times. Table S3. AUCs of different size for training dataset (from 10 % more to 90 % more than the original, randomly selected from fold3), after rerunning 10 times. Member lists of the Genetic Consortium for Anorexia Nervosa (GCAN)/the Wellcome Trust Case Control Consortium 3 (WTCCC 3)/the Price Foundation Collaborative Group. Supplementary acknowledgements. Ethic committee information. (DOCX 45 kb)

Source: Figshare

DOI: 10.6084/m9.figshare.4324724

Authors: Guo, Yiran, Wei, Zhi, Keating, Brendan, Hakonarson, Hakon

Language: English

Topic: Eating Disorders and Behaviors

Subfield: Clinical Psychology

Field: Psychology

Domain: Social Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W7138252595

FWCI:

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