Machine learning implementation to predict type-2 diabetes mellitus based on lifestyle behaviour pattern using HBA1C status-Reference-Cited by-同舟云学术

Machine learning implementation to predict type-2 diabetes mellitus based on lifestyle behaviour pattern using HBA1C status

Published:2023-04-20 Issue:3 Volume:13 Page:437-447
ISSN:2190-7188
Container-title:Health and Technology
language:en
Short-container-title:Health Technol.

Author:

Velu Shubashini Rathina,Ravi Vinayakumar^ORCID,Tabianan Kayalvily

Publisher

Springer Science and Business Media LLC

Subject

Biomedical Engineering,Applied Microbiology and Biotechnology,Bioengineering,Biotechnology

Link

https://link.springer.com/content/pdf/10.1007/s12553-023-00751-5.pdf

Reference49 articles.

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2. World Health Organization. Use of Glycated Haemoglobin (HbA1c) in the diagnosis of diabetes Mellitus: abbreviated report of a WHO Consultation. Abbreviated Report of a WHO Consultation; 2011.

3. World Health Organization., 2018. Noncomunicable Diseases Country Profiles 2018. s.l.:s.n.

4. Lin H, Yi J. 2017. Current Status of HbA1c Biosensors.Sensor, 17(8).

5. (2022) 2. Classification and Diagnosis of Diabetes: Standards of Medical Care in Diabetes—2022. Diabetes Care. https://doi.org/10.2337/dc22-S002

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