Name
Title | ||
|---|---|---|
Competitive neural layer-based method to identify people with high risk for diabetic foot. |
Abstract | ||
|---|---|---|
•A new system was developed to identify people with high risk to develop diabetic foot.•The system exploits the generalization capacity of the competitive neural network.•The system takes advantage of being non-invasive, i.e. without clinical exams.•It is useful to triage people with DM by pointing out high-risk patients.•A software system was also developed and it processes and stores the information. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.compbiomed.2020.103744 | Computers in Biology and Medicine |
Keywords | DocType | Volume |
Diabetes mellitus,Diabetic foot,Artificial neural network | Journal | 120 |
ISSN | Citations | PageRank |
0010-4825 | 0 | 0.34 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ana Cláudia Barbosa Honório Ferreira | 1 | 0 | 0.34 |
| Danton D. Ferreira | 2 | 8 | 3.07 |
| Henrique Ceretta Oliveira | 3 | 0 | 0.34 |
| Igor Carvalho de Resende | 4 | 0 | 0.34 |
| Andre Anjos | 5 | 496 | 22.02 |
| Maria Helena Baena de Moraes Lopes | 6 | 2 | 2.39 |