Association is not prediction: A landscape of confused reporting in diabetes – A systematic review-Reference-Cited by-同舟云学术

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Association is not prediction: A landscape of confused reporting in diabetes – A systematic review

Published:2020-12 Issue: Volume:170 Page:108497
ISSN:0168-8227
Container-title:Diabetes Research and Clinical Practice
language:en
Short-container-title:Diabetes Research and Clinical Practice

Author:

Varga Tibor V.,Niss Kristoffer,Estampador Angela C.,Collin Catherine B.,Moseley Pope L.

Funder

Horizon 2020 Framework Programme

European Commission

Stiftelsen för Strategisk Forskning

Vetenskapsrådet

Novo Nordisk Fonden

Publisher

Elsevier BV

Subject

Endocrinology,General Medicine,Endocrinology, Diabetes and Metabolism,Internal Medicine

Reference36 articles.

1. Toward Precision Medicine: Building a Knowledge Network for Biomedical Research and a New Taxonomy of Disease. Washington (DC), 2011.

2. Making Machine Learning Models Clinically Useful;Shah;J Am Med Assoc,2019

3. Precision Medicine and Personalized Medicine in Cardiovascular Disease;Currie;Adv Exp Med Biol,2018

4. Deep learning algorithm predicts diabetic retinopathy progression in individual patients;Arcadu;NPJ Digit Med,2019

5. Deep learning algorithms for detection of diabetic retinopathy in retinal fundus photographs: A systematic review and meta-analysis;Islam;Comput Methods Programs Biomed.,2020

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