Last Posted: Aug 05, 2020
- From genetics to bariatric surgery and soda taxes: Using all the tools to curb the rising tide of obesity
A Misra et al, PLOS Medicine, July 31, 2020 - Predicting the Development of Type 2 Diabetes in a Large Australian Cohort Using Machine-Learning Techniques: Longitudinal Survey Study.
Zhang Lei et al. JMIR medical informatics 2020 Jul 8(7) e16850 - Obesity, clinical, and genetic predictors for glycemic progression in Chinese patients with type 2 diabetes: A cohort study using the Hong Kong Diabetes Register and Hong Kong Diabetes Biobank
G Jiang et al, PLOS Medicine, July 28, 2020 - Clinical characterization of data-driven diabetes subgroups in Mexicans using a reproducible machine learning approach.
Bello-Chavolla Omar Yaxmehen et al. BMJ open diabetes research & care 2020 Jul 8(1) - Estimated County-Level Prevalence of Selected Underlying Medical Conditions Associated with Increased Risk for Severe COVID-19 Illness - United States, 2018.
Razzaghi Hilda et al. MMWR. Morbidity and mortality weekly report 2020 Jul (29) 945-950 - Factors Associated With Death in Critically Ill Patients With Coronavirus Disease 2019 in the US
S Gupta et al, JAMA Internal Medicine, July 15,2020 - Dietary Recommendations for Familial Hypercholesterolaemia: an Evidence-Free Zone.
Diamond David M et al. BMJ evidence-based medicine 2020 Jul - Obesity and genetics.
Golden Angela et al. Journal of the American Association of Nurse Practitioners 2020 Jul 32(7) 493-496 - Integration of an interpretable machine learning algorithm to identify early life risk factors of childhood obesity among preterm infants: a prospective birth cohort.
Fu Yuanqing et al. BMC medicine 2020 Jul 18(1) 184 - Cardiometabolic traits, sepsis and severe covid-19 with respiratory failure: a Mendelian randomization investigation
PJ Mark et al, MEDRXIV, June 20, 2020
.png)
No hay comentarios:
Publicar un comentario