<filename>content/publication/wolfers-2019/cite.bib<gh_stars>1-10
@article{Wolfers2019,
 abstract = {Pattern classification and stratification approaches have increasingly been used in research on Autism Spectrum Disorder (ASD) over the last ten years with the goal of translation towards clinical applicability. Here, we present an extensive scoping literature review on those two approaches. We screened a total of 635 studies, of which 57 pattern classification and 19 stratification studies were included. We observed large variance across pattern classification studies in terms of predictive performance from about 60% to 98% accuracy, which is among other factors likely linked to sampling bias, different validation procedures across studies, the heterogeneity of ASD and differences in data quality. Stratification studies were less prevalent with only two studies reporting replications and just a few showing external validation. While some identified strata based on cognition and intelligence reappear across studies, biology as a stratification marker is clearly underexplored. In summary, mapping biological differences at the level of the individual with ASD is a major challenge for the field now. Conceptualizing those mappings and individual trajectories that lead to the diagnosis of ASD, will become a major challenge in the near future.},
 author = {Wolfers, <NAME>, <NAME> Dinga, <NAME> <NAME>, Daan and Isakoglou, <NAME>, <NAME> and Zabihi, Mariam and Llera, Alberto and Chowdanayaka, Rajanikanth and Kumar, <NAME>. and Peng, Han and Laidi, Charles and Batalle, Dafnis and Dimitrova, Ralica and Charman, Tony and Loth, Eva and Lai, Meng-Chuan and Jones, Emily and Baumeister, Sarah and Moessnang, Carolin and Banaschewski, Tobias and Ecker, Christine and Dumas, Guillaume and O'Muircheartaigh, Jonathan and Murphy, Declan and Buitelaar, <NAME>. and Marquand, <NAME>. and Beckmann, <NAME>.},
 doi = {10.1016/j.neubiorev.2019.07.010},
 file = {:C\:/Users/taylo/AppData/Local/Mendeley Ltd./Mendeley Desktop/Downloaded/Wolfers et al. - 2019 - From pattern classification to stratification towards conceptualizing the heterogeneity of Autism Spectrum Disor.pdf:pdf},
 issn = {01497634},
 journal = {Neuroscience & Biobehavioral Reviews},
 keywords = {Autism spectrum disorder,Biotypes,Classification,Clustering,Machine learning,Pattern recognition,Precision medicine,Stratification},
 mendeley-groups = {Website - Publications},
 month = {sep},
 pages = {240--254},
 pmid = {31330196},
 publisher = {Elsevier Ltd},
 title = {From pattern classification to stratification: towards conceptualizing the heterogeneity of Autism Spectrum Disorder},
 url = {https://doi.org/10.1016/j.neubiorev.2019.07.010 https://linkinghub.elsevier.com/retrieve/pii/S0149763419303197},
 volume = {104},
 year = {2019}
}

