A Digital Twins Machine Learning Model for Forecasting Disease Progression in Stroke Patients
- Supplementary File 1:
ZIP-Document (ZIP, 127 KiB)
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. Appl. Sci. 2021, 11, 5576. https://doi.org/10.3390/app11125576
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
Chicago/Turabian StyleAllen, 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