Predicting Fetal Alcohol Spectrum Disorders Using Machine Learning Techniques: Multisite Retrospective Cohort Study

BACKGROUND: Fetal alcohol syndrome (FAS) is a lifelong developmental disability that occurs among individuals with prenatal alcohol exposure (PAE). With improved prediction models, FAS can be diagnosed or treated early, if not completely prevented. OBJECTIVE: In this study, we sought to compare diff...

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Detalles Bibliográficos
Autores principales: Oh, Sarah Soyeon, Kuang, Irene, Jeong, Hyewon, Song, Jin-Yeop, Ren, Boyu, Moon, Jong Youn, Park, Eun-Cheol, Kawachi, Ichiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10394506/
https://www.ncbi.nlm.nih.gov/pubmed/37463016
http://dx.doi.org/10.2196/45041

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10394506/
https://www.ncbi.nlm.nih.gov/pubmed/37463016
http://dx.doi.org/10.2196/45041

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