Pubmed du 02/01/22
1. Kirkovski M, Hill AT, Rogasch NC, Saeki T, Fitzgibbon BM, Yang J, Do M, Donaldson PH, Albein-Urios N, Fitzgerald PB, Enticott PG. A single- and paired-pulse TMS-EEG investigation of the N100 and long interval cortical inhibition in autism spectrum disorder. Brain stimulation. 2022; 15(1): 229-32.
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2. Xipolitopoulos C, Nikiforos MN, Exarchos T. Machine Learning for Autistic Spectrum Disorder Risk Screening. Advances in experimental medicine and biology. 2021; 1338: 81-7.
In the modern world of rapidly increasing autistic spectrum disorder case rates, medical costs, societal impact, and long-waiting times from initial screening, there is a need for an easy, early screening of autistic spectrum disorder risk in children. In this paper, a mobile application was developed with these requirements, using machine learning algorithms achieving high performance compared to other applications that use simple rule approaches. A recently published autistic spectrum disorder dataset is used to train the model, containing hundreds of screening data from children in the ages 4 to 11.
