Prediction of progression from pre‐diabetes to diabetes: Development and validation of a machine learning model
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Title
Prediction of progression from pre‐diabetes to diabetes: Development and validation of a machine learning model
Authors
Keywords
-
Journal
DIABETES-METABOLISM RESEARCH AND REVIEWS
Volume 36, Issue 2, Pages -
Publisher
Wiley
Online
2020-01-15
DOI
10.1002/dmrr.3252
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- Efficacy and effectiveness of screen and treat policies in prevention of type 2 diabetes: systematic review and meta-analysis of screening tests and interventions
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- (2016) Ali Abbasi et al. PLoS One
- A systematic review of real-world diabetes prevention programs: learnings from the last 15 years
- (2015) Zahra Aziz et al. Implementation Science
- A Novel Testing Model for Opportunistic Screening of Pre-Diabetes and Diabetes among U.S. Adults
- (2015) Yurong Zhang et al. PLoS One
- We Can Change the Natural History of Type 2 Diabetes
- (2014) Lawrence S. Phillips et al. DIABETES CARE
- Definition of intervention points in prediabetes
- (2014) Ele Ferrannini Lancet Diabetes & Endocrinology
- How Effective Were Lifestyle Interventions In Real-World Settings That Were Modeled On The Diabetes Prevention Program?
- (2012) Mohammed K. Ali et al. HEALTH AFFAIRS
- Prediction models for risk of developing type 2 diabetes: systematic literature search and independent external validation study
- (2012) A. Abbasi et al. BMJ-British Medical Journal
- Pioglitazone for Diabetes Prevention in Impaired Glucose Tolerance
- (2011) Ralph A. DeFronzo et al. NEW ENGLAND JOURNAL OF MEDICINE
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