Predicting diabetic peripheral neuropathy through advanced plantar pressure analysis: a machine learning approach.

ABSTRACT: Diabetic foot Ulceration (DFU) is a severe complication of diabetic foot syndrome, often leading to amputation. In patients with neuropathy, ulcer formation is facilitated by elevated plantar tissue stress under insensate feet. This study presents a plantar pressure distribution analysis method to predict diabetic peripheral neuropathy. The Win-Track platform was used to gather clinical and plantar pressure data from 86 diabetic patients with different degrees of neuropathy. An automated image processing algorithm segmented plantar pressure images into forefoot and hindfoot regions for precise pressure distribution measurement. Comparative analysis of static and dynamic assessment showed that static analysis consistently outperformed dynamic methods. Gradient Boosting achieved the highest

SUBMITTER: Sheikh MM 

PROVIDER: S-EPMC12215299 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature