Crowdsourced privacy-preserved feature tagging of short home videos for machine learning ASD detection

Crowdsourced privacy-preserved feature tagging of short home videos for machine learning ASD detection

Abstract Standard medical diagnosis of mental health conditions requires licensed experts who are increasingly outnumbered by those at risk, limiting reach. We test the hypothesis that a trustworthy crowd of non-experts can efficiently annotate behavioral features needed for accurate machine learnin...

Ausführliche Beschreibung

Bibliographische Detailangaben
Hauptverfasser: Peter Washington, Qandeel Tariq, Emilie Leblanc, Brianna Chrisman, Kaitlyn Dunlap, Aaron Kline, Haik Kalantarian, Yordan Penev, Kelley Paskov, Catalin Voss, Nathaniel Stockham, Maya Varma, Arman Husic, Jack Kent, Nick Haber, Terry Winograd, Dennis P. Wall
Format: Artikel
Sprache:English
Veröffentlicht: Nature Portfolio 2021-04-01
Schriftenreihe:Scientific Reports
Online Zugang:https://doi.org/10.1038/s41598-021-87059-4

Ähnliche Einträge

Ähnliche Einträge