Last Posted: Jul 23, 2021
- A Machine Learning Approach for Investigating Delirium as a Multifactorial Syndrome.
Ocagli Honoria et al. International journal of environmental research and public health 2021 18(13)
- Genetic syndromes with diabetes: A systematic review.
Shi Daniel et al. Obesity reviews : an official journal of the International Association for the Study of Obesity 2021 e13303
- Familial non medullary thyroid carcinoma: Beyond the syndromic forms.
Orois Aida et al. Endocrinologia, diabetes y nutricion 2021 68(4) 260-269
- Machine Learning for Predicting the 3-Year Risk of Incident Diabetes in Chinese Adults.
Wu Yang et al. Frontiers in public health 2021 9626331
- The cardiovascular phenotype of Chronic Obstructive Pulmonary Disease (COPD): Applying machine learning to the prediction of cardiovascular comorbidities.
Nikolaou Vasilis et al. Respiratory medicine 2021 186106528
- Deep transfer learning and data augmentation improve glucose levels prediction in type 2 diabetes patients
Y Deng et al, NPJ Digital Medicine, July 14, 2021
- Heart Rate Variability measured during rest and after orthostatic challenge to detect autonomic dysfunction in Type 2 Diabetes Mellitus using the Classification and Regression Tree model.
Rathod Shashikant et al. Technology and health care : official journal of the European Society for Engineering and Medicine 2021
- What Causes Type 2 Diabetes
- Machine Learning Approaches to Predict Risks of Diabetic Complications and Poor Glycemic Control in Nonadherent Type 2 Diabetes.
Fan Yuting et al. Frontiers in pharmacology 2021 12665951
- Machine learning based study of longitudinal HbA1c trends and their association with all-cause mortality: Analyses from a National Diabetes Registry.
Cahn Avivit et al. Diabetes/metabolism research and reviews 2021 e3485
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Disclaimer: Articles listed in the Public Health Genomics and Precision Health Knowledge Base are selected by the CDC Office of Public Health Genomics to provide current awareness of the literature and news. Inclusion in the update does not necessarily represent the views of the Centers for Disease Control and Prevention nor does it imply endorsement of the article's methods or findings. CDC and DHHS assume no responsibility for the factual accuracy of the items presented. The selection, omission, or content of items does not imply any endorsement or other position taken by CDC or DHHS. Opinion, findings and conclusions expressed by the original authors of items included in the update, or persons quoted therein, are strictly their own and are in no way meant to represent the opinion or views of CDC or DHHS. References to publications, news sources, and non-CDC Websites are provided solely for informational purposes and do not imply endorsement by CDC or DHHS.