https://www.selleckchem.com/pr....oducts/epz015666.htm
A random forest (RF) classifier trained on data pre-processed with the path signature method gave optimal classification accuracy of 98% with 99% sensitivity and 98% specificity. Data pre-processing directly influences the accuracy of ML models for the accurate classification of fallers. Using gait analysis with trained ML models can act as a tool for the proactive assessment of fall risk and support clinical decision-making.Owing to the development of new materials that enhance structural members in the construction field, steel-poly
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