Moving Toward the Implementation of Precision Medicine Needs Highly Discriminatory, Validated, Inexpensive, and Easy-to-Use Prediction Models
- 1 April 2020
- journal article
- editorial
- Published by American Diabetes Association in Diabetes Care
- Vol. 43 (4), 701-703
- https://doi.org/10.2337/dci19-0079
Abstract
No abstract availableThis publication has 18 references indexed in Scilit:
- Predicting 10-Year Risk of End-Organ Complications of Type 2 Diabetes With and Without Metabolic Surgery: A Machine Learning ApproachDiabetes Care, 2020
- Estimation of Mortality Risk in Type 2 Diabetic Patients (ENFORCE): An Inexpensive and Parsimonious Prediction ModelJournal of Clinical Endocrinology & Metabolism, 2019
- The index of prediction accuracy: an intuitive measure useful for evaluating risk prediction modelsDiagnostic and Prognostic Research, 2018
- Validation of Risk Equations for Complications of Type 2 Diabetes (RECODe) Using Individual Participant Data From Diverse Longitudinal Cohorts in the U.S.Diabetes Care, 2017
- Development and validation of Risk Equations for Complications Of type 2 Diabetes (RECODe) using individual participant data from randomised trialsThe Lancet Diabetes & Endocrinology, 2017
- IDF Diabetes Atlas: Global estimates for the prevalence of diabetes for 2015 and 2040Diabetes Research and Clinical Practice, 2017
- Towards better clinical prediction models: seven steps for development and an ABCD for validationEuropean Heart Journal, 2014
- Development and Validation of a Predicting Model of All-Cause Mortality in Patients With Type 2 DiabetesDiabetes Care, 2013
- Diabetes Mellitus, Fasting Glucose, and Risk of Cause-Specific DeathThe New England Journal of Medicine, 2011
- External validation is necessary in prediction research:Journal of Clinical Epidemiology, 2003