Senadheera, I.; Larssen, B.C.; Mak-Yuen, Y.Y.K.; Steinfort, S.; Carey, L.M.; Alahakoon, D.
Profiling Somatosensory Impairment after Stroke: Characterizing Common “Fingerprints” of Impairment Using Unsupervised Machine Learning-Based Cluster Analysis of Quantitative Measures of the Upper Limb. Brain Sci. 2023, 13, 1253.
https://doi.org/10.3390/brainsci13091253
AMA Style
Senadheera I, Larssen BC, Mak-Yuen YYK, Steinfort S, Carey LM, Alahakoon D.
Profiling Somatosensory Impairment after Stroke: Characterizing Common “Fingerprints” of Impairment Using Unsupervised Machine Learning-Based Cluster Analysis of Quantitative Measures of the Upper Limb. Brain Sciences. 2023; 13(9):1253.
https://doi.org/10.3390/brainsci13091253
Chicago/Turabian Style
Senadheera, Isuru, Beverley C. Larssen, Yvonne Y. K. Mak-Yuen, Sarah Steinfort, Leeanne M. Carey, and Damminda Alahakoon.
2023. "Profiling Somatosensory Impairment after Stroke: Characterizing Common “Fingerprints” of Impairment Using Unsupervised Machine Learning-Based Cluster Analysis of Quantitative Measures of the Upper Limb" Brain Sciences 13, no. 9: 1253.
https://doi.org/10.3390/brainsci13091253
APA Style
Senadheera, I., Larssen, B. C., Mak-Yuen, Y. Y. K., Steinfort, S., Carey, L. M., & Alahakoon, D.
(2023). Profiling Somatosensory Impairment after Stroke: Characterizing Common “Fingerprints” of Impairment Using Unsupervised Machine Learning-Based Cluster Analysis of Quantitative Measures of the Upper Limb. Brain Sciences, 13(9), 1253.
https://doi.org/10.3390/brainsci13091253
