
Last Posted: Dec 28, 2020
- Early prediction of gestational diabetes mellitus in the Chinese population via advanced machine learning.
Wu Yan-Ting et al. The Journal of clinical endocrinology and metabolism 2020 Dec - Chest x-ray analysis with deep learning-based software as a triage test for pulmonary tuberculosis: a prospective study of diagnostic accuracy for culture-confirmed disease.
Khan Faiz Ahmad et al. The Lancet. Digital health 2020 Nov 2(11) e573-e581 - Comparison of the effects of sibling and parental history of type 2 diabetes on metabolic syndrome.
Chiu Hsuan et al. Scientific reports 2020 Dec 10(1) 22131 - Prediction of systemic biomarkers from retinal photographs: development and validation of deep-learning algorithms.
Rim Tyler Hyungtaek et al. The Lancet. Digital health 2020 Oct 2(10) e526-e536 - Is It Time to Screen the General Population for Type 1 Diabetes?
Simmons Kimber M et al. US endocrinology 2015 11(1) 10-6 - Genetic variants of ABCC8 and phenotypic features in Chinese early onset diabetes.
Li Meng et al. Journal of diabetes 2020 Dec - Identifying Diabetic Macular Edema and Other Retinal Diseases by Optical Coherence Tomography Image and Multiscale Deep Learning.
Zhang Quan et al. Diabetes, metabolic syndrome and obesity : targets and therapy 2020 134787-4800 - Ruling In and Ruling Out COVID-19: Computing SARS-CoV-2 Infection Risk From Symptoms, Imaging and Test Data.
D'Ambrosia Christopher et al. Journal of medical Internet research 2020 Nov - Novel therapies for familial hypercholesterolemia.
Mohamed Farzahna et al. Current opinion in endocrinology, diabetes, and obesity 2020 Dec - Deep neural network-based machine learning reduces the screening workload for systematic review: Investigation based on recent clinical guidelines.
Yamada Tomohide et al. Journal of medical Internet research 2020 Nov
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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.
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