A machine learning approach for predicting post-stroke aphasia recovery: A pilot study

Y Gu, M Bahrani, A Billot, S Lai, EJ Braun… - Proceedings of the 13th …, 2020 - dl.acm.org
The potential recovery of post-stroke aphasia is highly variable and the rehabilitation
outcomes are difficult to predict. This interdisciplinary collaboration builds on data collected …
被引用次数：15 相关文章

A machine learning approach for predicting post-stroke aphasia recovery: A pilot study

Y Gu, M Bahrani, A Billot, S Lai… - … Related to Assistive …, 2020 - pure.johnshopkins.edu
The potential recovery of post-stroke aphasia is highly variable and the rehabilitation
outcomes are difficult to predict. This interdisciplinary collaboration builds on data collected …
[PDF] nsf.gov

[PDF][PDF] A machine learning approach for predicting post-stroke aphasia recovery: a pilot study

Y Gu, M Bahrani, A Billot, S Lai, EJ Braun… - 13th ACM International …, 2020 - par.nsf.gov
The potential recovery of post-stroke aphasia is highly variable and the rehabilitation
outcomes are difficult to predict. This interdisciplinary collaboration builds on data collected …

A machine learning approach for predicting post-stroke aphasia recovery: A pilot study

Y Gu, M Bahrani, A Billot, S Lai… - 13th ACM …, 2020 - scholars.northwestern.edu
The potential recovery of post-stroke aphasia is highly variable and the rehabilitation
outcomes are difficult to predict. This interdisciplinary collaboration builds on data collected …