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 *

235 related articles for article (PubMed ID: 30718453)

  • 1. Neurodevelopmental heterogeneity and computational approaches for understanding autism.
    Jacob S; Wolff JJ; Steinbach MS; Doyle CB; Kumar V; Elison JT
    Transl Psychiatry; 2019 Feb; 9(1):63. PubMed ID: 30718453
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 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. 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]  

  • 5. Subtyping cognitive profiles in Autism Spectrum Disorder using a Functional Random Forest algorithm.
    Feczko E; Balba NM; Miranda-Dominguez O; Cordova M; Karalunas SL; Irwin L; Demeter DV; Hill AP; Langhorst BH; Grieser Painter J; Van Santen J; Fombonne EJ; Nigg JT; Fair DA
    Neuroimage; 2018 May; 172():674-688. PubMed ID: 29274502
    [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. Using machine learning to identify patterns of lifetime health problems in decedents with autism spectrum disorder.
    Bishop-Fitzpatrick L; Movaghar A; Greenberg JS; Page D; DaWalt LS; Brilliant MH; Mailick MR
    Autism Res; 2018 Aug; 11(8):1120-1128. PubMed ID: 29734508
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Use of Machine Learning to Identify Children with Autism and Their Motor Abnormalities.
    Crippa A; Salvatore C; Perego P; Forti S; Nobile M; Molteni M; Castiglioni I
    J Autism Dev Disord; 2015 Jul; 45(7):2146-56. PubMed ID: 25652603
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. 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]  

  • 11. Heterogeneity of executive function revealed by a functional random forest approach across ADHD and ASD.
    Cordova M; Shada K; Demeter DV; Doyle O; Miranda-Dominguez O; Perrone A; Schifsky E; Graham A; Fombonne E; Langhorst B; Nigg J; Fair DA; Feczko E
    Neuroimage Clin; 2020; 26():102245. PubMed ID: 32217469
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Brain imaging-based machine learning in autism spectrum disorder: methods and applications.
    Xu M; Calhoun V; Jiang R; Yan W; Sui J
    J Neurosci Methods; 2021 Sep; 361():109271. PubMed ID: 34174282
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Measurement considerations in pediatric research on autism spectrum disorders.
    Walsh KS; Rau S
    Prog Brain Res; 2018; 241():193-220. PubMed ID: 30447755
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Identification and analysis of behavioral phenotypes in autism spectrum disorder via unsupervised machine learning.
    Stevens E; Dixon DR; Novack MN; Granpeesheh D; Smith T; Linstead E
    Int J Med Inform; 2019 Sep; 129():29-36. PubMed ID: 31445269
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Differential diagnosis between autism spectrum disorder and other developmental disorders with emphasis on the preschool period.
    de Lima TA; Zuanetti PA; Nunes MEN; Hamad APA
    World J Pediatr; 2023 Aug; 19(8):715-726. PubMed ID: 36282408
    [TBL] [Abstract][Full Text] [Related]  

  • 16. [Intellectual developmental disability overlapping with autism spectrum disorder and attention deficit-hyperactivity disorder].
    Mulas F; Rojas M
    Medicina (B Aires); 2018; 78 Suppl 2():63-68. PubMed ID: 30199368
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A Review of and Roadmap for Data Science and Machine Learning for the Neuropsychiatric Phenotype of Autism.
    Washington P; Wall DP
    Annu Rev Biomed Data Sci; 2023 Aug; 6():211-228. PubMed ID: 37137169
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Detecting Autism Spectrum Disorder Using Spectral Analysis of Electroretinogram and Machine Learning: Preliminary results.
    Manjur SM; Hossain MB; Constable PA; Thompson DA; Marmolejo-Ramos F; Lee IO; Skuse DH; Posada-Quintero HF
    Annu Int Conf IEEE Eng Med Biol Soc; 2022 Jul; 2022():3435-3438. PubMed ID: 36083945
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Toward a motor signature in autism: Studies from human-machine interaction.
    Xavier J; Guedjou H; Anzalone SM; Boucenna S; Guigon E; Chetouani M; Cohen D
    Encephale; 2019 Apr; 45(2):182-187. PubMed ID: 30503684
    [TBL] [Abstract][Full Text] [Related]  

  • 20.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

    [Next]    [New Search]
    of 12.