Validation of Clinical Risk Model to Predict Future Diabetes-Reference-Cited by-同舟云学术

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Validation of Clinical Risk Model to Predict Future Diabetes

Published:2024 Issue:5 Volume:39 Page:
ISSN:1011-8934
Container-title:Journal of Korean Medical Science
language:en
Short-container-title:J Korean Med Sci

Author:

Kim Sang Soo¹²³^ORCID,Kim Jinmi²⁴^ORCID,Ha Joon⁵^ORCID

Affiliation:

1. Division of Endocrinology and Metabolism, Department of Internal Medicine, Pusan National University Hospital, Busan, Korea.

2. Biomedical Research Institute, Pusan National University Hospital, Busan, Korea.

3. Department of Internal Medicine, Pusan National University School of Medicine, Yangsan, Korea.

4. Department of Biostatistics, Clinical Trial Center, Biomedical Research Institute, Pusan National University Hospital, Busan, Korea.

5. Department of Mathematics, Howard University, Washington, D.C., USA.

Publisher

XMLink

Link

https://jkms.org/pdf/10.3346/jkms.2024.39.e69

Reference5 articles.

1. Global, regional, and national burden of diabetes from 1990 to 2021, with projections of prevalence to 2050: a systematic analysis for the Global Burden of Disease Study 2021

2. Prediction of Incident Diabetes Mellitus in Middle-aged Adults

3. An effective correlation-based data modeling framework for automatic diabetes prediction using machine and deep learning techniques

4. Validation of the Framingham Diabetes Risk Model Using Community-Based KoGES Data

5. 1-Hour Post-OGTT Glucose Improves the Early Prediction of Type 2 Diabetes by Clinical and Metabolic Markers

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