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
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   Crossref logo
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Data mining and machine learning techniques for early detection in autism spectrum disorder
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Predicting Autism Spectrum Disorder Using Machine Learning Classifiers
2020 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT). 2020;   Crossref logo
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Gestational Age and Autism Spectrum Disorder: Trends in Risk Over Time
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Explainable and scalable machine learning algorithms for detection of autism spectrum disorder using fMRI data
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The Importance of Early Psychological Assessment for Differential Diagnosis and Detection of Comorbidity in Children With Autism Spectrum Disorder
Frontiers in Psychiatry. 2021;12:   Crossref logo
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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   Crossref logo
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Commentary - Autism Spectrum Disorder: Spectrum or Cluster?
Autism Research. 2016;9(12):1237-1240   Crossref logo
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Detection of Autism Spectrum Disorder Through Orthogonal Decomposition and Pearson Correlation for Feature Selection
2021 4th International Conference on Recent Trends in Computer Science and Technology (ICRTCST). 2022;   Crossref logo
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The relationship among early functional milestones and core deficits in Autism Spectrum Disorder
Research in Autism Spectrum Disorders. 2020;78:101638   Crossref logo
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