These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

200 related articles for article (PubMed ID: 32013648)

  • 1. A clustering approach for autistic trait classification.
    Baadel S; Thabtah F; Lu J
    Inform Health Soc Care; 2020 Sep; 45(3):309-326. PubMed ID: 32013648
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A new machine learning model based on induction of rules for autism detection.
    Thabtah F; Peebles D
    Health Informatics J; 2020 Mar; 26(1):264-286. PubMed ID: 30693818
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Machine learning in autistic spectrum disorder behavioral research: A review and ways forward.
    Thabtah F
    Inform Health Soc Care; 2019 Sep; 44(3):278-297. PubMed ID: 29436887
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A new computational intelligence approach to detect autistic features for autism screening.
    Thabtah F; Kamalov F; Rajab K
    Int J Med Inform; 2018 Sep; 117():112-124. PubMed ID: 30032959
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A new classification system for autism based on machine learning of artificial intelligence.
    Shahamiri SR; Thabtah F; Abdelhamid N
    Technol Health Care; 2022; 30(3):605-622. PubMed ID: 34657857
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Identification of newborns at risk for autism using electronic medical records and machine learning.
    Rahman R; Kodesh A; Levine SZ; Sandin S; Reichenberg A; Schlessinger A
    Eur Psychiatry; 2020 Feb; 63(1):e22. PubMed ID: 32100657
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Sparsifying machine learning models identify stable subsets of predictive features for behavioral detection of autism.
    Levy S; Duda M; Haber N; Wall DP
    Mol Autism; 2017; 8():65. PubMed ID: 29270283
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Detecting autism from picture book narratives using deep neural utterance embeddings.
    Wawer A; Chojnicka I
    Int J Lang Commun Disord; 2022 Sep; 57(5):948-962. PubMed ID: 35555933
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Classification of Children With Autism and Typical Development Using Eye-Tracking Data From Face-to-Face Conversations: Machine Learning Model Development and Performance Evaluation.
    Zhao Z; Tang H; Zhang X; Qu X; Hu X; Lu J
    J Med Internet Res; 2021 Aug; 23(8):e29328. PubMed ID: 34435957
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Wearable-Sensors-Based Platform for Gesture Recognition of Autism Spectrum Disorder Children Using Machine Learning Algorithms.
    Siddiqui UA; Ullah F; Iqbal A; Khan A; Ullah R; Paracha S; Shahzad H; Kwak KS
    Sensors (Basel); 2021 May; 21(10):. PubMed ID: 34064750
    [TBL] [Abstract][Full Text] [Related]  

  • 11. The study of the differences between low-functioning autistic children and typically developing children in the processing of the own-race and other-race faces by the machine learning approach.
    Kang J; Han X; Hu JF; Feng H; Li X
    J Clin Neurosci; 2020 Nov; 81():54-60. PubMed ID: 33222968
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Detection of autism spectrum disorder (ASD) in children and adults using machine learning.
    Farooq MS; Tehseen R; Sabir M; Atal Z
    Sci Rep; 2023 Jun; 13(1):9605. PubMed ID: 37311766
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Comparison of classification algorithms for predicting autistic spectrum disorder using WEKA modeler.
    Mohd Radzi SF; Hassan MS; Mohd Radzi MAH
    BMC Med Inform Decis Mak; 2022 Nov; 22(1):306. PubMed ID: 36434656
    [TBL] [Abstract][Full Text] [Related]  

  • 14. An accessible and efficient autism screening method for behavioural data and predictive analyses.
    Thabtah F
    Health Informatics J; 2019 Dec; 25(4):1739-1755. PubMed ID: 30230414
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Identifying children with autism spectrum disorder based on their face processing abnormality: A machine learning framework.
    Liu W; Li M; Yi L
    Autism Res; 2016 Aug; 9(8):888-98. PubMed ID: 27037971
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Diagnosis of Autism Spectrum Disorders in Young Children Based on Resting-State Functional Magnetic Resonance Imaging Data Using Convolutional Neural Networks.
    Aghdam MA; Sharifi A; Pedram MM
    J Digit Imaging; 2019 Dec; 32(6):899-918. PubMed ID: 30963340
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Development of a Machine Learning Algorithm for the Surveillance of Autism Spectrum Disorder.
    Maenner MJ; Yeargin-Allsopp M; Van Naarden Braun K; Christensen DL; Schieve LA
    PLoS One; 2016; 11(12):e0168224. PubMed ID: 28002438
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Detecting Developmental Delay and Autism Through Machine Learning Models Using Home Videos of Bangladeshi Children: Development and Validation Study.
    Tariq Q; Fleming SL; Schwartz JN; Dunlap K; Corbin C; Washington P; Kalantarian H; Khan NZ; Darmstadt GL; Wall DP
    J Med Internet Res; 2019 Apr; 21(4):e13822. PubMed ID: 31017583
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Improving screening systems of autism using data sampling.
    Scott AJW; Wang Y; Abdel-Jaber H; Thabtah F; Ray SK
    Technol Health Care; 2021; 29(5):897-909. PubMed ID: 33459672
    [TBL] [Abstract][Full Text] [Related]  

  • 20. [ADI-R and ADOS and the differential diagnosis of autism spectrum disorders: Interests, limits and openings].
    Frigaux A; Evrard R; Lighezzolo-Alnot J
    Encephale; 2019 Nov; 45(5):441-448. PubMed ID: 31495549
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.