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Precision Telemedicine through Crowdsourced Machine Learning: Testing Variability of Crowd Workers for Video-Based Autism Feature Recognition.
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.
Afiliação
  • Washington P; Department of Bioengineering, Stanford University, 443 Via Ortega, Stanford, CA 94305, USA.
  • Leblanc E; Department of Pediatrics (Systems Medicine), Stanford University, 1265 Welch Rd., Stanford, CA 94305, USA.
  • Dunlap K; Department of Pediatrics (Systems Medicine), Stanford University, 1265 Welch Rd., Stanford, CA 94305, USA.
  • Penev Y; Department of Pediatrics (Systems Medicine), Stanford University, 1265 Welch Rd., Stanford, CA 94305, USA.
  • Kline A; Department of Pediatrics (Systems Medicine), Stanford University, 1265 Welch Rd., Stanford, CA 94305, USA.
  • Paskov K; Department of Biomedical Data Science, Stanford University, 1265 Welch Rd., Stanford, CA 94305, USA.
  • Sun MW; Department of Biomedical Data Science, Stanford University, 1265 Welch Rd., Stanford, CA 94305, USA.
  • Chrisman B; Department of Bioengineering, Stanford University, 443 Via Ortega, Stanford, CA 94305, USA.
  • Stockham N; Department of Neuroscience, Stanford University, 213 Quarry Rd., Stanford, CA 94305, USA.
  • Varma M; Department of Computer Science, Stanford University, 353 Jane Stanford Way, Stanford, CA 94305, USA.
  • Voss C; Department of Computer Science, Stanford University, 353 Jane Stanford Way, Stanford, CA 94305, USA.
  • Haber N; School of Education, Stanford University, 485 Lasuen Mall, Stanford, CA 94305, USA.
  • Wall DP; Department of Pediatrics (Systems Medicine), Stanford University, 1265 Welch Rd., Stanford, CA 94305, USA.
J Pers Med ; 10(3)2020 Aug 13.
Article em En | MEDLINE | ID: mdl-32823538

Texto completo: 1 Bases de dados: MEDLINE Idioma: En Revista: J Pers Med Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Bases de dados: MEDLINE Idioma: En Revista: J Pers Med Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos