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  • Performance Analysis of Conventional Machine Learning Algorithms for Diabetic Sensorimotor Polyneuropathy Severity Classification Using Nerve Conduction Studies.

Performance Analysis of Conventional Machine Learning Algorithms for Diabetic Sensorimotor Polyneuropathy Severity Classification Using Nerve Conduction Studies.

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2022 Others F Haque, MBI Reaz, MEH Chowdhury… - Computational …, 2022 - hindawi.com

Full Author : ['Haque, Fahmida', 'Reaz, Mamun B I', 'Chowdhury, Muhammad E H', 'Kiranyaz, Serkan', 'Ali, Sawal H M', 'Alhatou, Mohammed', 'Habib, Rumana', 'Bakar, Ahmad A A', 'Arsad, Norhana', 'Srivastava, Geetika']
Journal Title : Computational intelligence and neuroscience
Chapter : Section1
Journal Year : 2022
Cited by : 2.0

BACKGROUND: Diabetic sensorimotor polyneuropathy (DSPN) is a major form of complication that arises in long-term diabetic patients. Even though the application of machine learning (ML) in disease diagnosis is very common and well-established in the field ..... Read More

Keywords : ["diabetic sensorimotor polyneuropathy severity classification use nerve conduction study", "conventional machine learn algorithm", "performance analysis"]
PubMed Link : https://www.hindawi.com/journals/cin/2022/9690940/
Google Scholar Link : https://scholar.google.com/scholar?cites=7218389112515968112&as_sdt=5,31&sciodt=0,31&hl=en&num=20