[HTML][HTML] Predicting clinically significant motor function improvement after contemporary task-oriented interventions using machine learning approaches
HK Thakkar, W Liao, C Wu, YW Hsieh… - … of NeuroEngineering and …, 2020 - Springer
Background Accurate prediction of motor recovery after stroke is critical for treatment
decisions and planning. Machine learning has been proposed to be a promising technique …
decisions and planning. Machine learning has been proposed to be a promising technique …
Predicting clinically significant motor function improvement after contemporary task-oriented interventions using machine learning approaches
HK Thakkar, WW Liao, CY Wu… - Journal of …, 2020 - pubmed.ncbi.nlm.nih.gov
Background Accurate prediction of motor recovery after stroke is critical for treatment
decisions and planning. Machine learning has been proposed to be a promising technique …
decisions and planning. Machine learning has been proposed to be a promising technique …
Predicting clinically significant motor function improvement after contemporary task-oriented interventions using machine learning approaches.
HK Thakkar, W Liao, C Wu, YW Hsieh… - … of NeuroEngineering and …, 2020 - go.gale.com
Background Accurate prediction of motor recovery after stroke is critical for treatment
decisions and planning. Machine learning has been proposed to be a promising technique …
decisions and planning. Machine learning has been proposed to be a promising technique …
[PDF][PDF] Predicting clinically significant motor function improvement after contemporary task-oriented interventions using machine learning approaches
HK Thakkar, W Liao, C Wu, YW Hsieh, TH Lee - 2020 - researchgate.net
Background: Accurate prediction of motor recovery after stroke is critical for treatment
decisions and planning. Machine learning has been proposed to be a promising technique …
decisions and planning. Machine learning has been proposed to be a promising technique …
[PDF][PDF] Predicting clinically significant motor function improvement after contemporary task-oriented interventions using machine learning approaches
HK Thakkar, W Liao, C Wu, YW Hsieh, TH Lee - 2020 - academia.edu
Background: Accurate prediction of motor recovery after stroke is critical for treatment
decisions and planning. Machine learning has been proposed to be a promising technique …
decisions and planning. Machine learning has been proposed to be a promising technique …
Predicting clinically significant motor function improvement after contemporary task-oriented interventions using machine learning approaches
HK Thakkar, L Wan-wen, W Ching-yi… - Journal of …, 2020 - search.proquest.com
Background Accurate prediction of motor recovery after stroke is critical for treatment
decisions and planning. Machine learning has been proposed to be a promising technique …
decisions and planning. Machine learning has been proposed to be a promising technique …
Predicting clinically significant motor function improvement after contemporary task-oriented interventions using machine learning approaches.
HK Thakkar, WW Liao, CY Wu, YW Hsieh… - Journal of …, 2020 - europepmc.org
Background Accurate prediction of motor recovery after stroke is critical for treatment
decisions and planning. Machine learning has been proposed to be a promising technique …
decisions and planning. Machine learning has been proposed to be a promising technique …
Predicting clinically significant motor function improvement after contemporary task-oriented interventions using machine learning approaches
HK Thakkar, W Liao, C Wu, Y Hsieh… - … of NeuroEngineering and …, 2020 - hero.epa.gov
Accurate prediction of motor recovery after stroke is critical for treatment decisions and
planning. Machine learning has been proposed to be a promising technique for outcome …
planning. Machine learning has been proposed to be a promising technique for outcome …
Predicting clinically significant motor function improvement after contemporary task-oriented interventions using machine learning approaches
HK Thakkar - 2020 - lrcdrs.bennett.edu.in
Background: Accurate prediction of motor recovery after stroke is critical for treatment
decisions and planning. Machine learning has been proposed to be a promising technique …
decisions and planning. Machine learning has been proposed to be a promising technique …
[HTML][HTML] Predicting clinically significant motor function improvement after contemporary task-oriented interventions using machine learning approaches
HK Thakkar, W Liao, C Wu… - Journal of …, 2020 - jneuroengrehab.biomedcentral.com
Accurate prediction of motor recovery after stroke is critical for treatment decisions and
planning. Machine learning has been proposed to be a promising technique for outcome …
planning. Machine learning has been proposed to be a promising technique for outcome …