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Training and Profiling a Pediatric Facial Expression Classifier for Children on Mobile Devices: Machine Learning Study

JMIR Formative Research(2022)10.2196/39917Source: DataRank Database

Training and Profiling a Pediatric Facial Expression Classifier for Children on Mobile Devices: Machine Learning Study is a research paper published in JMIR Formative Research (2022). On theSindex it has a DataRank of 0. It has been cited 21 times.

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (11 grants)OA: goldTopics (30)IDs (PubMed, PMC)

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Authors (6)

Onur Cezmi Mutlu ORCID,Aaron Kline ORCID,Saimourya Surabhi ORCID,Peter Washington ORCID,Dennis P. Wall ORCID

Live enrichment

PubMed:35962462 PMC:PMC10131663

NICHD NIH HHS

Grant: R21 HD091500

NLM NIH HHS

Grant: R01 LM014342

NLM NIH HHS

Grant: R01 LM013364

NIBIB NIH HHS

Grant: R01 EB025025

NLM NIH HHS

Grant: R01 LM013083

NIGMS NIH HHS

Grant: U54 GM138062

National Institutes of Health

Grant: 1R01EB025025-01

QuBBD: Wearable artificial intelligence for bid data-driven healthcare in child development

National Institutes of Health

Grant: 5R01LM013083-03

Creating an artificial intelligence therapy-to-data feedback loop for child developmental healthcare

National Institutes of Health

Grant: 5R01LM013364-03

A Mobile Game for Domain Adaptation and Deep Learning in Autism Healthcare

National Institutes of Health

Grant: 1R21HD091500-01

Evaluation of machine learning to mobilize detection and therapy of developmental delay in children

National Science Foundation

Grant: 2014232

SCH:INT: SCH: INT: A gamified mobile system for real-time mental health data modeling and personalized autism care across sociocultural settings

goldLicense: http://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Formative Research, is properly cited. The complete bibliographic information, a link to the original publication on http://formative.jmir.org, as well as this copyright and license information must be included.

Unpaywallhttps://formative.jmir.org/2023/1/e39917/PDF

Europe_PMChttps://europepmc.org/articles/PMC10131663

Europe_PMChttps://europepmc.org/articles/PMC10131663?pdf=render

https://doi.org/10.2196/39917

https://pubmed.ncbi.nlm.nih.gov/35962462

Fields of Study

03 medical and health sciences0302 clinical medicine

Keywords

ChildClassificationNeural networkModelImage analysisComputer visionAlgorithmPediatricsAutismAutism Spectrum DisorderMachine LearningEmotion RecognitionImage ClassificationDevelopmental DisorderClassifierDiagnostic ToolAsdSmartphoneAffective ComputingMhealthMobile HealthDeep LearningEdge ComputingDigital TherapyMachine Learning For HealthOriginal PaperRMedicine