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 *

377 related articles for article (PubMed ID: 25710120)

  • 1. Searching for a minimal set of behaviors for autism detection through feature selection-based machine learning.
    Kosmicki JA; Sochat V; Duda M; Wall DP
    Transl Psychiatry; 2015 Feb; 5(2):e514. PubMed ID: 25710120
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Mobile detection of autism through machine learning on home video: A development and prospective validation study.
    Tariq Q; Daniels J; Schwartz JN; Washington P; Kalantarian H; Wall DP
    PLoS Med; 2018 Nov; 15(11):e1002705. PubMed ID: 30481180
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Identifying predictive features of autism spectrum disorders in a clinical sample of adolescents and adults using machine learning.
    Küpper C; Stroth S; Wolff N; Hauck F; Kliewer N; Schad-Hansjosten T; Kamp-Becker I; Poustka L; Roessner V; Schultebraucks K; Roepke S
    Sci Rep; 2020 Mar; 10(1):4805. PubMed ID: 32188882
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Use of machine learning to shorten observation-based screening and diagnosis of autism.
    Wall DP; Kosmicki J; Deluca TF; Harstad E; Fusaro VA
    Transl Psychiatry; 2012 Apr; 2(4):e100. PubMed ID: 22832900
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Diagnosis of autism through EEG processed by advanced computational algorithms: A pilot study.
    Grossi E; Olivieri C; Buscema M
    Comput Methods Programs Biomed; 2017 Apr; 142():73-79. PubMed ID: 28325448
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. Variability in outcome for children with an ASD diagnosis at age 2.
    Turner LM; Stone WL
    J Child Psychol Psychiatry; 2007 Aug; 48(8):793-802. PubMed ID: 17683451
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Evaluation of the revised algorithm of Autism Diagnostic Observation Schedule (ADOS) in the diagnostic investigation of high-functioning children and adolescents with autism spectrum disorders.
    Kamp-Becker I; Ghahreman M; Heinzel-Gutenbrunner M; Peters M; Remschmidt H; Becker K
    Autism; 2013 Jan; 17(1):87-102. PubMed ID: 21610187
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Replication study for ADOS-2 cut-offs to assist evaluation of autism spectrum disorder.
    Hong JS; Singh V; Kalb L; Reetzke R; Ludwig NN; Pfeiffer D; Holingue C; Menon D; Lu Q; Ashkar A; Landa R
    Autism Res; 2022 Nov; 15(11):2181-2191. PubMed ID: 36054678
    [TBL] [Abstract][Full Text] [Related]  

  • 10. The Autism Diagnostic Observation Schedule-toddler module: a new module of a standardized diagnostic measure for autism spectrum disorders.
    Luyster R; Gotham K; Guthrie W; Coffing M; Petrak R; Pierce K; Bishop S; Esler A; Hus V; Oti R; Richler J; Risi S; Lord C
    J Autism Dev Disord; 2009 Sep; 39(9):1305-20. PubMed ID: 19415479
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Use of machine learning for behavioral distinction of autism and ADHD.
    Duda M; Ma R; Haber N; Wall DP
    Transl Psychiatry; 2016 Feb; 6(2):e732. PubMed ID: 26859815
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Crowdsourced validation of a machine-learning classification system for autism and ADHD.
    Duda M; Haber N; Daniels J; Wall DP
    Transl Psychiatry; 2017 May; 7(5):e1133. PubMed ID: 28509905
    [TBL] [Abstract][Full Text] [Related]  

  • 13. An examination of the precision of the Autism Diagnostic Observation Schedule using item response theory.
    Kuhfeld M; Sturm A
    Psychol Assess; 2018 May; 30(5):656-668. PubMed ID: 28782981
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Usability and reliability of a remotely administered adult autism assessment, the autism diagnostic observation schedule (ADOS) module 4.
    Schutte JL; McCue MP; Parmanto B; McGonigle J; Handen B; Lewis A; Pulantara IW; Saptono A
    Telemed J E Health; 2015 Mar; 21(3):176-84. PubMed ID: 25569603
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Replication study of ADOS-2 Toddler Module cut-off scores for autism spectrum disorder classification.
    Hong JS; Singh V; Kalb L; Ashkar A; Landa R
    Autism Res; 2021 Jun; 14(6):1284-1295. PubMed ID: 33683018
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Automated Tracking and Quantification of Autistic Behavioral Symptoms Using Microsoft Kinect.
    Kang JY; Kim R; Kim H; Kang Y; Hahn S; Fu Z; Khalid MI; Schenck E; Thesen T
    Stud Health Technol Inform; 2016; 220():167-70. PubMed ID: 27046572
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Modeling clinical outcome of children with autistic spectrum disorders.
    Coplan J; Jawad AF
    Pediatrics; 2005 Jul; 116(1):117-22. PubMed ID: 15995041
    [TBL] [Abstract][Full Text] [Related]  

  • 18. [Polish version of the ADOS (autism diagnostic observation schedule-generic)].
    Chojnicka I; Płoski R
    Psychiatr Pol; 2012; 46(5):781-9. PubMed ID: 23394018
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Use of the Mullen Scales of Early Learning for the assessment of young children with Autism Spectrum Disorders.
    Akshoomoff N
    Child Neuropsychol; 2006 Aug; 12(4-5):269-77. PubMed ID: 16911972
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Sensitivity and Specificity of the ADOS-2 Algorithm in a Large German Sample.
    Medda JE; Cholemkery H; Freitag CM
    J Autism Dev Disord; 2019 Feb; 49(2):750-761. PubMed ID: 30238180
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 19.