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Precision Health Database


Precision Health Database|Search|PHGKB

Last data update: Dec 02, 2023. (Total: 62228 Documents since 2012)
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[Differential diagnosis of autism spectrum disorder and global developmental delay based on machine learning and Children Neuropsychological and Behavioral Scale].
Gang Zhou et al. Zhongguo Dang Dai Er Ke Za Zhi 2023 25(10) 1028-1033
Digital phenotyping could help detect autism.
Catherine Lord et al. Nat Med 2023
Early detection of autism using digital behavioral phenotyping
S Perochon et al, Nature Medicine, October 2, 2023
Toward an autism-friendly environment based on mobile apps user feedback analysis using deep learning and machine learning models.
Mariem Haoues et al. PeerJ Comput Sci 2023 9e1442
Study proposes use of artificial intelligence to diagnose autism spectrum disorder
R Muniz, Medical XPress, August 2023
Prosodic signatures of ASD severity and developmental delay in preschoolers.
Michel Godel et al. NPJ Digit Med 2023 6(1) 99
Development and validation of a machine learning-based tool to predict autism among children.
Kim Steven Betts et al. Autism research : official journal of the International Society for Autism Research 2023
Machine learning determination of applied behavioral analysis treatment plan type.
Jenish Maharjan et al. Brain informatics 2023 10(1) 7
Digitally assisted diagnostics of autism spectrum disorder.
Jana Christina Koehler et al. Frontiers in psychiatry 2023 141066284
Exploring telediagnostic procedures in child neuropsychiatry: addressing ADHD diagnosis and autism symptoms through supervised machine learning.
Silvia Grazioli et al. European child & adolescent psychiatry 2023 1-11
The Utility of Natural Language Samples for Assessing Communication and Language in Infants Referred with Early Signs of Autism.
Hudry Kristelle et al. Research on child and adolescent psychopathology 2023
Machine learning approaches for electroencephalography and magnetoencephalography analyses in autism spectrum disorder: A systematic review.
Das Sushmit et al. Progress in neuro-psychopharmacology & biological psychiatry 2022 110705
Hybrid Diagnosis Models for Autism Patients Based on Medical and Sociodemographic Features Using Machine Learning and Multicriteria Decision-Making (MCDM) Techniques: An Evaluation and Benchmarking Framework.
Alqaysi M E et al. Computational and mathematical methods in medicine 2022 20229410222
A machine learning-based diagnostic model for children with autism spectrum disorders complicated with intellectual disability.
Song Chao et al. Frontiers in psychiatry 2022 13993077
Ethics of digital therapeutics (DTx).
Refolo P et al. European review for medical and pharmacological sciences 2022 26(18) 6418-6423
Machine learning models using mobile game play accurately classify children with autism.
Deveau Nicholas et al. Intelligence-based medicine 2022 100057
Uncovering Brain Differences in Preschoolers and Young Adolescents with Autism Spectrum Disorder Using Deep Learning.
Li Shijun et al. International journal of neural systems 2022 2250044
Use of Oculomotor Behavior to Classify Children with Autism and Typical Development: A Novel Implementation of the Machine Learning Approach.
Zhao Zhong et al. Journal of autism and developmental disorders 2022
Machine learning-based ABA treatment recommendation and personalization for autism spectrum disorder: an exploratory study.
Kohli Manu et al. Brain informatics 2022 9(1) 16
Feasibility and Impact of Integrating an Artificial Intelligence-Based Diagnosis Aid for Autism Into the Extension for Community Health Outcomes Autism Primary Care Model: Protocol for a Prospective Observational Study.
Sohl Kristin et al. JMIR research protocols 2022 11(7) e37576
Diagnosis-Based Hybridization of Multimedical Tests and Sociodemographic Characteristics of Autism Spectrum Disorder Using Artificial Intelligence and Machine Learning Techniques: A Systematic Review.
Alqaysi M E et al. International journal of telemedicine and applications 2022 20223551528
Using machine learning to improve diagnostic assessment of ASD in the light of specific differential and co-occurring diagnoses.
Schulte-Rüther Martin et al. Journal of child psychology and psychiatry, and allied disciplines 2022
An AI-Enabled Internet of Things Based Autism Care System for Improving Cognitive Ability of Children with Autism Spectrum Disorders.
Abdel Hameed Mohamed et al. Computational intelligence and neuroscience 2022 20222247675
Crowd annotations can approximate clinical autism impressions from short home videos with privacy protections.
Washington Peter et al. Intelligence-based medicine 2022 6
Detecting autism from picture book narratives using deep neural utterance embeddings.
Wawer Aleksander et al. International journal of language & communication disorders 2022
FECTS: A Facial Emotion Cognition and Training System for Chinese Children with Autism Spectrum Disorder.
Wan Guobin et al. Computational intelligence and neuroscience 2022 20229213526
Evaluation of an artificial intelligence-based medical device for diagnosis of autism spectrum disorder.
Megerian Jonathan T et al. NPJ digital medicine 2022 5(1) 57
Evaluation of an artificial intelligence-based medical device for diagnosis of autism spectrum disorder
JK Megerian et al, NPJ DIgital Medicine, May 5, 2022
Abilities and Disabilities-Applying Machine Learning to Disentangle the Role of Intelligence in Diagnosing Autism Spectrum Disorders.
Wolff Nicole et al. Frontiers in psychiatry 2022 13826043
Use of Mobile and Wearable Artificial Intelligence in Child and Adolescent Psychiatry: Scoping Review.
Welch Victoria et al. Journal of medical Internet research 2022 24(3) e33560
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