Machine learning for predicting diabetic metabolism in the Indian population using polar metabolomic and lipidomic features-Reference-Cited by-同舟云学术

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Machine learning for predicting diabetic metabolism in the Indian population using polar metabolomic and lipidomic features

Published:2023-11-28 Issue:1 Volume:20 Page:
ISSN:1573-3890
Container-title:Metabolomics
language:en
Short-container-title:Metabolomics

Author:

Jain Nikita,Patel Bhaumik,Hanawal Manjesh,Lila Anurag R.,Memon Saba,Bandgar Tushar,Kumar Ashutosh

Funder

Wadhwani Research Centre for Bioengineering

Koita Center for Digital Health, IIT Bombay

Publisher

Springer Science and Business Media LLC

Subject

Clinical Biochemistry,Biochemistry,Endocrinology, Diabetes and Metabolism

Link

https://link.springer.com/content/pdf/10.1007/s11306-023-02066-y.pdf

Reference44 articles.

1. Abate, N., & Chandalia, M. (2001). Ethnicity and type 2 diabetes: Focus on Asian Indians. Journal of Diabetes and Its Complications,15(6), 320–327.

2. Bifarin, O. O., Gaul, D. A., Sah, S., Arnold, R. S., Ogan, K., Master, V. A., Roberts, D. L., et al. (2021). Machine learning-enabled renal cell carcinoma status prediction using multiplatform urine-based metabolomics. Journal of Proteome Research,20(7), 3629–3641.

3. Bligh, E. G., & Dyer, W. J. (1959). A rapid method of total lipid extraction and purification. Canadian Journal of Biochemistry and Physiology,37(8), 911–917.

4. Boden, G. (2003). Effects of free fatty acids (FFA) on glucose metabolism: Significance for insulin resistance and type 2 diabetes’, Experimental and clinical endocrinology & diabetes: official journal. German Society of Endocrinology [and] German Diabetes Association,111(3), 121–124.

5. Cao, J., Li, J., Gu, Z., Niu, J. J., An, G. S., Jin, Q. Q., Wang, Y. Y., & Huang, P. (2023). Combined metabolomics and machine learning algorithms to explore metabolic biomarkers for diagnosis of acute myocardial ischemia. International Journal of Legal Medicine,137(1), 169–180.

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1. Identification of potential serum biomarkers associated with HbA1c levels in Indian type 2 diabetic subjects using NMR-based metabolomics;Clinica Chimica Acta;2024-04

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