Cargando…
Performance Analysis of Conventional Machine Learning Algorithms for Diabetic Sensorimotor Polyneuropathy Severity Classification Using Nerve Conduction Studies
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 of research, its application in DSPN diagnosi...
Autores principales: | 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 |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9061035/ https://www.ncbi.nlm.nih.gov/pubmed/35510061 http://dx.doi.org/10.1155/2022/9690940 |
Ejemplares similares
-
Performance Analysis of Conventional Machine Learning Algorithms for Diabetic Sensorimotor Polyneuropathy Severity Classification
por: Haque, Fahmida, et al.
Publicado: (2021) -
Performance analysis of noninvasive electrophysiological methods for the assessment of diabetic sensorimotor polyneuropathy in clinical research: a systematic review and meta-analysis with trial sequential analysis
por: Haque, Fahmida, et al.
Publicado: (2020) -
Machine Learning-Based Diabetic Neuropathy and Previous Foot Ulceration Patients Detection Using Electromyography and Ground Reaction Forces during Gait
por: Haque, Fahmida, et al.
Publicado: (2022) -
Motion Artifacts Correction from Single-Channel EEG and fNIRS Signals Using Novel Wavelet Packet Decomposition in Combination with Canonical Correlation Analysis
por: Hossain, Md Shafayet, et al.
Publicado: (2022) -
Performance Analysis of Conventional Machine Learning Algorithms for Identification of Chronic Kidney Disease in Type 1 Diabetes Mellitus Patients
por: Chowdhury, Nakib Hayat, et al.
Publicado: (2021)