Data for: Competitive Neural Layer-based Method to Identify People with High Risk for Diabetic Foot

Published: 17 February 2022| Version 1 | DOI: 10.17632/hd7wtgs7dz.1
Danton Ferreira,
Igor Resende,
Henrique Oliveira,
Ana Claudia Ferreira,
Maria Helena Baena de Moraes Lopes,
Andre Anjos


This file provides information from 250 diabetic patients. Each sample is composed of 54 variables with take into account information about self-care habits of patients in relation to their health, care with the feet, but also included the patient’s sociodemographic and socioeconomic information. Rows are the variables and columns are the sample.



Diabetic Foot Ulcer