How to build nomogram for type 2 diabetes using a naïve Bayesian classifier technique
Author:
Affiliation:
1. Department of Statistics, Yeungnam University, Gyeongsan, Republic of Korea
Publisher
Informa UK Limited
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
Link
https://www.tandfonline.com/doi/pdf/10.1080/02664763.2018.1450366
Reference21 articles.
1. Development and Validation of a Patient Self-assessment Score for Diabetes Risk
2. Glucose, Blood Pressure, and Lipid Control in Korean Adults with Diagnosed Diabetes
3. Risk factors of type 2 diabetes among Korean adults: The 2001 Korean national health and nutrition examination survey
4. Logit Models from Economics and Other Fields
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