Precision Telemedicine through Crowdsourced Machine Learning: Testing Variability of Crowd Workers for Video-Based Autism Feature Recognition

Mobilized telemedicine is becoming a key, and even necessary, facet of both precision health and precision medicine. In this study, we evaluate the capability and potential of a crowd of virtual workers—defined as vetted members of popular crowdsourcing platforms—to aid in the task of diagnosing aut...

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Detaylı Bibliyografya
Yayımlandı:J Pers Med
Asıl Yazarlar: Washington, Peter, Leblanc, Emilie, Dunlap, Kaitlyn, Penev, Yordan, Kline, Aaron, Paskov, Kelley, Sun, Min Woo, Chrisman, Brianna, Stockham, Nathaniel, Varma, Maya, Voss, Catalin, Haber, Nick, Wall, Dennis P.
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: MDPI 2020
Konular:
Article
Online Erişim:https://ncbi.nlm.nih.gov/pmc/articles/PMC7564950/
https://ncbi.nlm.nih.gov/pubmed/32823538
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/jpm10030086
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