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Predicting fetal alcohol spectrum disorders in preschool-aged children from early life factors.

Gretchen BandoliClaire D ColesJulie A KableKenneth Lyons JonesWladimir WerteleckiLyubov YevtushokNatalya Zymak-ZakutnyaIryna GranovskaLarysa PlotkaChristina Chambersnull null
Published in: Alcohol, clinical & experimental research (2023)
As early identification and treatment optimize outcomes of children with FASD, classifier models from early life characteristics show promise in predicting FASD. Models may be improved through the inclusion of physiologic markers of prenatal alcohol exposure and should be tested in different samples.
Keyphrases
  • early life
  • young adults
  • pregnant women
  • type diabetes
  • big data
  • combination therapy