Severity and Risk Predictions of Diabetes on COVID-19 Using Machine Learning Techniques
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-3045-4_21
Reference23 articles.
1. Bae, S., et al.: Impact of cardiovascular disease and risk factors on fatal outcomes in patients with COVID-19 according to age: a systematic review and meta-analysis 107(5), 373–380 (2021)
2. Boersma, H.E., et al.: Skin autofluorescence predicts new cardiovascular disease and mortality in people with type 2 diabetes 21(1), 1–8 (2021)
3. Chiu, T.-T., et al.: The related risk factors of diabetic retinopathy in elderly patients with type 2 diabetes mellitus: a hospital-based cohort study in Taiwan 18(1), 307 (2021)
4. Gregory, J.M., et al.: COVID-19 severity is tripled in the diabetes community: a prospective analysis of the pandemic’s impact in Type 1 and Type 2 diabetes. 44(2), 526–532 (2021)
5. Narasimha, V.: Education, diabetes with co-morbidities of Covid-19 using Covid-19 lungs images 12(4), 1156–1164 (2021)
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