CrossRef Text and Data Mining
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Application of an artificial neural network model for diagnosing type 2 diabetes mellitus and determining the relative importance of risk factors
Shiva Borzouei, Ali Reza Soltanian
Epidemiol Health. 2018;40:e2018007  Published online March 10, 2018

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Application of an artificial neural network model for early outcome prediction of gamma knife radiosurgery in patients with trigeminal neuralgia and determining the relative importance of risk factors
Clinical Neurology and Neurosurgery. 2019;179:47-52   Crossref logo
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The relative importance of cardiovascular risk factors in type 2 diabetes
International Journal of Clinical Practice. 2004;58:20-24   Crossref logo

Importance of cardiovascular disease risk management in patients with type 2 diabetes mellitus
Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy. 2014;169   Crossref logo

Targeting risk factors: a feasible way for prevention of vascular complications in type 2 diabetes mellitus
Diabetes mellitus. 2012;15(4):103-108   Crossref logo
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Vaccinations as risk factors for Type I diabetes mellitus
Diabetologia. 2000;43(5):A684   Crossref logo
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Evaluating the risk of type 2 diabetes mellitus using artificial neural network: An effective classification approach
Diabetes Research and Clinical Practice. 2013;100(1):111-118   Crossref logo
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Diabetes, obesity and cancer: risk and anti-risk factors
Diabetes mellitus. 2012;15(4):81-88   Crossref logo
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The Importance of Selecting the Correct Model
Artificial Neural Networks with Java. 2019;449-529   Crossref logo

The risk factors of ketoacidosis in children with newly diagnosed type 1 diabetes mellitus
Pediatric Diabetes. 2010;12(4pt1):302-306   Crossref logo

Factors of Importance for Residual Beta-cell Function in Type I Diabetes Mellitus
Acta Medica Scandinavica. 2009;213(S671):61-67   Crossref logo