A DIAGNOSTIC MODEL OF NERVE ROOT COMPRESSION LOCALIZATION IN LOWER LUMBAR DISC HERNIATION BASED ON RANDOM FOREST ALGORITHM AND SURFACE ELECTROMYOGRAPHY

A diagnostic model of nerve root compression localization in lower lumbar disc herniation based on random forest algorithm and surface electromyography

ObjectiveThis study aimed to investigate the muscle activation of patients with lumbar disc herniation (LDH) during walking by surface electromyography (SEMG) and establish a diagnostic model based on SEMG parameters using random forest (RF) algorithm for localization diagnosis of compressed nerve root in LDH patients.MethodsFifty-eight patients wi

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Investigative Spatial Distribution and Modelling of Existing and Future Urban Land Changes and Its Impact on Urbanization and Economy

Land use and land cover (LULC) change analysis is a critical instrument for studying urban growth across the world.Our objectives were to produce historical LULC maps during the 1988–2016 period for spatial and temporal analysis, forecast Pentair IntelliFlo3 Parts future LULC until 2040 by using the Markov model, and identify the impact of LU

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