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
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4-OR: Diabetes Duration and the Relative Importance of Cardiovascular Risk Factors in Type 1 Diabetes
Diabetes. 2020;69(Supplement_1):   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 Mellitus Prediction using Hybrid Artificial Neural Network
2021 IEEE Bombay Section Signature Conference (IBSSC). 2021;   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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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

Risk factors for necrobiosis lipoidica in Type 1 diabetes mellitus
Diabetic Medicine. 2016;34(1):86-92   Crossref logo
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Abstract #807052: Prediabetes and Diabetes Mellitus in Office Workers Having Risk Factors For Type 2 Diabetes Mellitus
Endocrine Practice. 2020;26:140-141   Crossref logo
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