Crowdsourced feature tagging for scalable and privacy-preserved autism diagnosis is a research paper published in medRxiv (2020). On theSindex it has a DataRank of 0.373. It has been cited 11 times.
Scored on demand from live citation data
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Base Score Contribution
0.373
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
Learn more about DataRank methodology →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: 1R01EB025025-01
QuBBD: Wearable artificial intelligence for bid data-driven healthcare in child development
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
National Institutes of Health
Grant: 5R21HD091500-02
Evaluation of machine learning to mobilize detection and therapy of developmental delay in children
Fields of Study
Keywords
Sustainable Development Goals