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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...
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| Publicado no: | J Pediatr Gastroenterol Nutr |
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| Main Authors: | , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Lippincott Williams & Wilkins
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7815249/ https://ncbi.nlm.nih.gov/pubmed/33275399 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1097/MPG.0000000000003007 |
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