A Computer-Aided Screening Solution for the Identification of Diabetic Neuropathy From Standing Balance by Leveraging Multi-Domain Features
Author:
Affiliation:
1. Department of Information Engineering, Università Politecnica delle Marche, Ancona, Italy
2. Department of Diabetology, Mazzoni Hospital, Ascoli Piceno, Italy
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx8/7333/10398877/10572034.pdf?arnumber=10572034
Reference46 articles.
1. Diabetic neuropathy
2. Global and regional diabetes prevalence estimates for 2019 and projections for 2030 and 2045: Results from the International Diabetes Federation Diabetes Atlas, 9th edition
3. Deep Learning for Diabetes: A Systematic Review
4. Identifying neuropathies through time series analysis of postural tests
5. The many faces of diabetes: a disease with increasing heterogeneity
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