Comparing three data mining algorithms for Identifying the associated risk factors of type 2 diabetes
IBJ-Iranian Biomedical Journal. 2018; 22 (5): 303-311
in English
| IMEMR
| ID: emr-199455
ABSTRACT
Background:
Increasing the prevalence of type 2 diabetes has given rise to a global health burden and a concern among health service providers and health administrators. The current study aimed at developing and comparing some statistical models to identify the risk factors associated with type 2 diabetes. In this light, artificial neural network [ANN], support vector machines [SVMs], and multiple logistic regression [MLR] models were applied, using demographic, anthropometric, and biochemical characteristics, on a sample of 9528 individuals from Mashhad City in Iran
Search on Google
Index:
IMEMR (Eastern Mediterranean)
Language:
English
Journal:
Iran. Biomed. J.
Year:
2018
Similar
MEDLINE
...
LILACS
LIS