Official websites use .gov
A
.gov
website belongs to an official government organization in the
United States.
Secure .gov websites use HTTPS
A
lock
(
) or
https://
means you’ve safely connected to the .gov website. Share sensitive
information only on official, secure websites.
PubMed ID:
33925190
Public Release Type:
Journal
Publication Year: 2021
Affiliation: Department of Electrical, Electronic and System Engineering, Universiti Kebangsaan Malaysia, Bangi 43600, Selangor, Malaysia.; Department of Electrical, Electronic and System Engineering, Universiti Kebangsaan Malaysia, Bangi 43600, Selangor, Malaysia.; Department of Electrical Engineering, Qatar University, Doha 2713, Qatar.; Department of Physics and Electronics, Dr. Ram Manohar Lohia Avadh University, Ayodhya 224001, India.; Department of Electrical, Electronic and System Engineering, Universiti Kebangsaan Malaysia, Bangi 43600, Selangor, Malaysia.; Department of Electrical, Electronic and System Engineering, Universiti Kebangsaan Malaysia, Bangi 43600, Selangor, Malaysia.; Department Electrical and Electronic Engineering, Xiamen University Malaysia, Bandar Sunsuria, Sepang 43900, Selangor, Malaysia.
DOI:
https://doi.org/10.3390/diagnostics11050801
Authors:
Haque Fahmida, Bin Ibne Reaz Mamun, Chowdhury Muhammad Enamul Hoque, Srivastava Geetika, Hamid Md Ali Sawal, Bakar Ahmad Ashrif A, Bhuiyan Mohammad Arif Sobhan
Request IDs:
22429
Studies:
Diabetes Control and Complications Trial / Epidemiology of Diabetes Interventions and Complications
Diabetic peripheral neuropathy (DSPN), a major form of diabetic neuropathy, is a complication that arises in long-term diabetic patients. Even though the application of machine learning (ML) in disease diagnosis is a very common and well-established field of research, its application in diabetic peripheral neuropathy (DSPN) diagnosis using composite scoring techniques like Michigan Neuropathy Screening Instrumentation (MNSI), is very limited in the existing literature.
