Article Versions Notes

Allen A, Siefkas A, Pellegrini E, Burdick H, Barnes G, Calvert J, Mao Q, Das R. A Digital Twins Machine Learning Model for Forecasting Disease Progression in Stroke Patients. Applied Sciences. 2021; 11(12):5576. https://doi.org/10.3390/app11125576

Allen, Angier, Anna Siefkas, Emily Pellegrini, Hoyt Burdick, Gina Barnes, Jacob Calvert, Qingqing Mao, and Ritankar Das. 2021. "A Digital Twins Machine Learning Model for Forecasting Disease Progression in Stroke Patients" Applied Sciences 11, no. 12: 5576. https://doi.org/10.3390/app11125576

Allen, A., Siefkas, A., Pellegrini, E., Burdick, H., Barnes, G., Calvert, J., Mao, Q., & Das, R. (2021). A Digital Twins Machine Learning Model for Forecasting Disease Progression in Stroke Patients. Applied Sciences, 11(12), 5576. https://doi.org/10.3390/app11125576