Prediction of Autism Risk From Family Medical History Data Using Machine Learning: A National Cohort Study From Denmark

Prediction of Autism Risk From Family Medical History Data Using Machine Learning: A National Cohort Study From Denmark

Background: A family history of specific disorders (e.g., autism, depression, epilepsy) has been linked to risk for autism spectrum disorder (ASD). This study examines whether family history data could be used for ASD risk prediction. Methods: We followed all Danish live births, from 1980 to 2012, o...

Full description

Bibliographic Details
Main Authors: Linda Ejlskov, Jesper N. Wulff, Amy Kalkbrenner, Christine Ladd-Acosta, M. Danielle Fallin, Esben Agerbo, Preben Bo Mortensen, Brian K. Lee, Diana Schendel
Format: Article
Language:English
Published: Elsevier 2021-08-01
Series:Biological Psychiatry Global Open Science
Subjects:
Autism
Epidemiology
Family history
Machine learning
Population based
Risk score
Online Access:http://www.sciencedirect.com/science/article/pii/S2667174321000136

Similar Items

Similar Items