title: A Decision Tree Analysis of Diabetic Foot Amputation Risk in Indian Patients.
abstract: OBJECTIVE
  The aim of this study is to create an evidence-based tool that guides the risk of amputation in diabetic foot patients.
  
  
  METHODS
  Hospital records of 301 diabetic foot patients were examined retrospectively for explanatory variables of foot amputation decisions. The study included all patients with a lower limb ulcer with a known history of diabetes mellitus or those diagnosed post-admission. The dataset was analyzed, and a risk scoring system was constructed using the decision tree algorithm, C5.0. Two classifiers, one simple and another complex, were constructed for predicting amputation outcome.
  
  
  CONCLUSIONS
  Based on our evaluation, the most influential predictors for a decision to amputate are Doppler flow measurements and the Wagner grading of the ulceration. The simple classifier uses just these two parameters in determining risk. The results obtained show an accuracy of 96.4% in the primary group and an accuracy of 94% in the test group. The second classifier is a more complex computer-derived construct that showed 100% accuracy in the principle group and an accuracy of 96% during testing.
  
  
  CONCLUSIONS
  In the present era ofprecision medicine, these two classifiers act as an accurate guide to the prognosis of the limb in patients with diabetic foot and can predict the risk of future amputation.
authors.affiliation: Department of General Surgery, B.J. Government Medical College , Pune , India.
authors.forename: Prasad Umesh
authors.initials: PU
authors.lastname: Kasbekar
authors.affiliation: Indian Institute of Science Education and Research , Pune , India.
authors.forename: Pranay
authors.initials: P
authors.lastname: Goel
authors.affiliation: Department of General Surgery, B.J. Government Medical College , Pune , India.
authors.forename: Shailaja Prakash
authors.initials: SP
authors.lastname: Jadhav
keywords: C5 classifier; amputation risk score; diabetic foot; prognostic indicators; ulcer prognosis