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Use of Machine Learning Classifiers and Sensor Data to Detect Neurological Deficit in Stroke Patients
BACKGROUND: The pronator drift test (PDT), a neurological examination, is widely used in clinics to measure motor weakness of stroke patients. OBJECTIVE: The aim of this study was to develop a PDT tool with machine learning classifiers to detect stroke symptoms based on quantification of proximal ar...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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JMIR Publications
2017
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5413803/ https://www.ncbi.nlm.nih.gov/pubmed/28420599 http://dx.doi.org/10.2196/jmir.7092 |