Microvascular Complications in Type-2 Diabetes: A Review of Statistical Techniques and Machine Learning Models-Reference-Cited by-同舟云学术

Microvascular Complications in Type-2 Diabetes: A Review of Statistical Techniques and Machine Learning Models

Published:2020-06-12 Issue:1 Volume:115 Page:1-26
ISSN:0929-6212
Container-title:Wireless Personal Communications
language:en
Short-container-title:Wireless Pers Commun

Author:

Sambyal Nitigya,Saini Poonam,Syal Rupali

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Computer Science Applications

Link

https://link.springer.com/content/pdf/10.1007/s11277-020-07552-3.pdf

Reference50 articles.

1. Shankar, K., Sait, A. R. W., Gupta, D., Lakshmanaprabu, S. K., Khanna, A., & Pandey, H. M. (2020). Automated detection and classification of fundus diabetic retinopathy images using synergic deep learning model. Pattern Recognition Letters, 133, 210–216.

2. MiM, E., Venkat Narayan, K. M., & Herman, W. H. (2000). Screening for type 2 diabetes. Diabetes Care, 23, 1563–1580.

3. Campagna, D., Alamo, A., Di Pino, A., Russo, C., Calogero, A. E., Purrello, F., et al. (2019). Smoking and diabetes: Dangerous liaisons and confusing relationships. Diabetology and Metabolic Syndrome, 11(85), 1–12.

4. Sami, W., Ansari, T., Butt, N. S., Rashid, M., & Hamid, A. (2017). Effect of diet on type 2 diabetes mellitus: A review. International Journal of Health Sciences, 11(2), 65–71.

5. World Health Organization. (1999). Definition, diagnosis and classification of diabetes mellitus and its complications. Part 1: Diagnosis and Classification of Diabetes Mellitus, 1999, 1–66.

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