Profiles of autism characteristics in thirteen genetic syndromes: a machine learning approach

Molecular Autism

Research

Dawn Adams¹  Hilgo Bruining²  Hefin Rhys³  Peter Watson⁴  Hayley Crawford⁵  Jane Waite⁶  Lucy Wilde⁷  Stacey Bissell⁸  Laurie Powis⁸  Kate Woodcock⁸  Christopher Oliver⁸  Lisa Nelson⁸  Kate Eden⁸  Caroline Richards⁸  Alice Welham⁹  Joanna Moss^1,10  Natali Bozhilova^1,10 

[1] Autism Centre of Excellence, Griffith University, Brisbane, Australia;Department of Child and Adolescent Psychiatry, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands;Francis Crick Institute, London, UK;MRC Brain and Cognition Unit, University of Cambridge, Cambridge, UK;Mental Health and Wellbeing Unit, Warwick Medical School, University of Warwick, Coventry, UK;School of Psychology, College of Health and Life Sciences, Aston University, Birmingham, UK;School of Psychology, Open University, Milton Keynes, UK;School of Psychology, University of Birmingham, Edgbaston, UK;School of Psychology, University of Leicester, Leicester, UK;School of Psychology, University of Surrey, Guilford, UK;

关键词: Autism;    Genetic syndromes;    SVM;    Machine learning;    Behavioural phenotype;   

DOI  :  10.1186/s13229-022-00530-5

 received in 2022-09-20, accepted in 2022-12-07,  发布年份 2022

来源: Springer

【 授权许可】

CC BY   
© The Author(s) 2023

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