“Healing Profiles in Patients with a Chronic Diabetic Foot Ulcer: An Exploratory Study with Machine Learning” focuses on the complex healing process of diabetic foot ulcers (DFU). It uses machine learning and decision trees to assess healing and prognosis risk profiles in patients. Evaluating various factors, including clinical, biochemical, and psychological aspects, the study identifies key predictors such as illness representations and DFU duration. Biochemical markers also emerge as significant in predicting healing outcomes. This research highlights the importance of these factors in managing DFUs and suggests further exploration into predictive models for effective treatment.
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