Machine Learning Supports Automated Digital Image Scoring of Stool Consistency in Diapers

BACKGROUND/AIMS: Accurate stool consistency classification of non–toilet-trained children remains challenging. This study evaluated the feasibility of automated classification of stool consistencies from diaper photos using machine learning (ML). METHODS: In total, 2687 usable smartphone photos of d...

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Detalles Bibliográficos
Autores principales: Ludwig, Thomas, Oukid, Ines, Wong, Jill, Ting, Steven, Huysentruyt, Koen, Roy, Puspita, Foussat, Agathe C., Vandenplas, Yvan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2021
Materias:
Original Article: Gastroenterology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7815249/
https://www.ncbi.nlm.nih.gov/pubmed/33275399
http://dx.doi.org/10.1097/MPG.0000000000003007

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7815249/
https://www.ncbi.nlm.nih.gov/pubmed/33275399
http://dx.doi.org/10.1097/MPG.0000000000003007

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