Feasibility of the automatic ingestion monitor (AIM-2) for infant feeding assessment: a pilot study among breast-feeding mothers from Ghana.

Caroline CerminaroEdward SazonovMegan A McCroryMatilda Steiner-AsieduViprav BhaskarSina GalloEmma LaingWenyan JiaMingui SunTom BaranowskiGary FrostBenny LoAlex Kojo Anderson

Published in: Public health nutrition (2022)

The AIM-2 was a feasible tool for the assessment of infant feeding among mothers in Ghana as a passive, objective method and identified overestimation of self-reported breast-feeding frequency and duration. Future studies using the AIM-2 are warranted to determine validity on a larger scale.

Keyphrases

machine learning
deep learning
current status
neural network