Classification and prediction of the effects of nutritional intake on diabetes mellitus using artificial neural network sensitivity analysis: 7th Korea National Health and Nutrition Examination Survey-Reference-Cited by-同舟云学术

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Classification and prediction of the effects of nutritional intake on diabetes mellitus using artificial neural network sensitivity analysis: 7th Korea National Health and Nutrition Examination Survey

Published:2023 Issue:6 Volume:17 Page:1255
ISSN:1976-1457
Container-title:Nutrition Research and Practice
language:en
Short-container-title:Nutr Res Pract

Author:

Chang Kyungjin¹^ORCID,Yoo Songmin¹^ORCID,Lee Simyeol²^ORCID

Affiliation:

1. Department of Mechanical Engineering, Kyung Hee University, Yongin 17104, Korea.

2. Department of Home Economics Education, Dongguk University, Seoul 04620, Korea.

Publisher

XMLink

Subject

Nutrition and Dietetics,Food Science

Link

https://e-nrp.org/pdf/10.4162/nrp.2023.17.6.1255

Reference29 articles.

1. Diabetes Fact Sheets in Korea, 2020: An Appraisal of Current Status

2. Diabetes mellitus in elderly

3. 6. Glycemic Targets

4. Association between Dietary Carbohydrates and Body Weight

5. A feedforward artificial neural network model for classification and detection of type 2 diabetes

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