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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...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Lippincott Williams & Wilkins
2021
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| Materias: | |
| 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 |