Machine Learning for Predicting the Risk of Transition from Prediabetes to Diabetes-Reference-Cited by-同舟云学术

Machine Learning for Predicting the Risk of Transition from Prediabetes to Diabetes

Published:2022-11-01 Issue:11 Volume:24 Page:842-847
ISSN:1520-9156
Container-title:Diabetes Technology & Therapeutics
language:en
Short-container-title:Diabetes Technology & Therapeutics

Author:

Zueger Thomas¹²^ORCID,Schallmoser Simon³,Kraus Mathias⁴,Saar-Tsechansky Maytal⁵,Feuerriegel Stefan³,Stettler Christoph¹

Affiliation:

1. Department of Diabetes, Endocrinology, Nutritional Medicine, and Metabolism, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.

2. Department of Endocrinology and Metabolic Diseases, Kantonsspital Olten, Olten, Switzerland.

3. Institute of AI in Management, LMU Munich, Munich, Germany.

4. Institute of Information Systems, FAU Erlangen-Nuremberg, Nuremberg, Germany.

5. The McCombs School of Business, The University of Texas at Austin, Austin, Texas, USA.

Publisher

Mary Ann Liebert Inc

Subject

Medical Laboratory Technology,Endocrinology,Endocrinology, Diabetes and Metabolism

Link

https://www.liebertpub.com/doi/pdf/10.1089/dia.2022.0210

Reference18 articles.

1. Prediction of Incident Diabetes Mellitus in Middle-aged Adults

2. Application of support vector machine modeling for prediction of common diseases: the case of diabetes and pre-diabetes

3. Type 2 diabetes mellitus prediction model based on data mining

4. Predicting Diabetes Mellitus With Machine Learning Techniques

5. Reverse Engineering and Evaluation of Prediction Models for Progression to Type 2 Diabetes

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