A novel systematic pipeline for increased predictability and explainability of growth patterns in children using trajectory features

Author:

Massara ParaskeviORCID,Lopez-Dominguez LorenaORCID,Bourdon Celine,Bassani Diego G.,Keown-Stoneman Charles D.G.ORCID,Birken Catherine S.,Maguire Jonathon L.,Santos Iná S.,Matijasevich AliciaORCID,Bandsma Robert H.J.,Comelli Elena M.

Publisher

Elsevier BV

Subject

Health Informatics

Reference43 articles.

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2. The importance of head growth patterns in predicting the cognitive abilities and literacy skills of small-for-gestational-age children;Frisk;Dev Neuropsychol.,2002

3. World Health Organization. Levels and trends in child malnutrition: UNICEF. 2020.

4. Growth trajectories of body mass index during childhood: Associated factors and health outcome at adulthood;Peneau;The Journal of pediatrics.,2017

5. Adolescent BMI trajectory and risk of diabetes versus coronary disease;Tirosh;N Engl J Med.,2011

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1. The use of machine learning in paediatric nutrition;Current Opinion in Clinical Nutrition & Metabolic Care;2024-02-01

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