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| CrossRef Text and Data Mining |
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| Recent trends in autism spectrum disorder research using text mining of PubMed: importance of early detection |
| Seung Soo Kim |
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Clin Exp Pediatr. 2021;64(7):339-340. Published online November 9, 2020 DOI: https://doi.org/10.3345/cep.2020.01564 |
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Recent trends in autism spectrum disorder research using text mining of PubMed: importance of early detection Clinical and Experimental Pediatrics. 2021;64(7):339-340  Data mining and machine learning techniques for early detection in autism spectrum disorder Neural Engineering Techniques for Autism Spectrum Disorder. 2021;77-125 Eye Tracking Biomarkers for Autism Spectrum Disorder Detection using Machine Learning and Deep Learning Techniques: Review Research in Autism Spectrum Disorders. 2023;108:102228 Predicting Autism Spectrum Disorder Using Machine Learning Classifiers 2020 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT). 2020; Gestational Age and Autism Spectrum Disorder: Trends in Risk Over Time Autism Research. 2015;9(2):224-231 Explainable and scalable machine learning algorithms for detection of autism spectrum disorder using fMRI data Neural Engineering Techniques for Autism Spectrum Disorder. 2021;39-54 Recent Trends in Automatic Autism Spectrum Disorder Detection Using Brain MRI Lecture Notes in Networks and Systems. 2023;375-387 Commentary - Autism Spectrum Disorder: Spectrum or Cluster? Autism Research. 2016;9(12):1237-1240 The importance of motor assessment, and current motor assessment tools available for individuals with autism spectrum disorder Emerging Programs for Autism Spectrum Disorder. 2021;273-284 The Importance of Early Psychological Assessment for Differential Diagnosis and Detection of Comorbidity in Children With Autism Spectrum Disorder Frontiers in Psychiatry. 2021;12: |
