Article Versions Notes

Washington P, Leblanc E, Dunlap K, Penev Y, Kline A, Paskov K, Sun MW, Chrisman B, Stockham N, Varma M, et al. Precision Telemedicine through Crowdsourced Machine Learning: Testing Variability of Crowd Workers for Video-Based Autism Feature Recognition. Journal of Personalized Medicine. 2020; 10(3):86. https://doi.org/10.3390/jpm10030086

Washington, Peter, Emilie Leblanc, Kaitlyn Dunlap, Yordan Penev, Aaron Kline, Kelley Paskov, Min Woo Sun, Brianna Chrisman, Nathaniel Stockham, Maya Varma, and et al. 2020. "Precision Telemedicine through Crowdsourced Machine Learning: Testing Variability of Crowd Workers for Video-Based Autism Feature Recognition" Journal of Personalized Medicine 10, no. 3: 86. https://doi.org/10.3390/jpm10030086

Washington, P., Leblanc, E., Dunlap, K., Penev, Y., Kline, A., Paskov, K., Sun, M. W., Chrisman, B., Stockham, N., Varma, M., Voss, C., Haber, N., & Wall, D. P. (2020). Precision Telemedicine through Crowdsourced Machine Learning: Testing Variability of Crowd Workers for Video-Based Autism Feature Recognition. Journal of Personalized Medicine, 10(3), 86. https://doi.org/10.3390/jpm10030086