How to build nomogram for type 2 diabetes using a naïve Bayesian classifier technique
| العنوان: | How to build nomogram for type 2 diabetes using a naïve Bayesian classifier technique |
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| المؤلفون: | Jea-Young Lee, Jae-Cheol Park |
| المصدر: | Journal of Applied Statistics. 45:2999-3011 |
| بيانات النشر: | Informa UK Limited, 2018. |
| سنة النشر: | 2018 |
| مصطلحات موضوعية: | Statistics and Probability, business.industry, Computer science, Naive bayesian classifier, Bayesian probability, Type 2 diabetes, Nomogram, Machine learning, computer.software_genre, medicine.disease, 01 natural sciences, 010104 statistics & probability, 03 medical and health sciences, 0302 clinical medicine, medicine, 030212 general & internal medicine, Artificial intelligence, 0101 mathematics, Statistics, Probability and Uncertainty, business, computer |
| الوصف: | In this study, we introduced a method for building a Bayesian nomogram and proposed an appropriate nomogram for type 2 diabetes (T2D) using data from 13,474 subjects collected from the 2013... |
| تدمد: | 1360-0532 0266-4763 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_________::b57250a575c759788f55251bab9c8da3Test https://doi.org/10.1080/02664763.2018.1450366Test |
| رقم الانضمام: | edsair.doi...........b57250a575c759788f55251bab9c8da3 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 13600532 02664763 |
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