Machine Learning to Diagnose Neurodegenerative Multiple Sclerosis Disease
- 24 November 2022
- book chapter
- conference paper
- Published by Springer Science and Business Media LLC
Abstract
No abstract availableKeywords
This publication has 17 references indexed in Scilit:
- Predicting Multiple Sclerosis From Gait Dynamics Using an Instrumented Treadmill: A Machine Learning ApproachIEEE Transactions on Biomedical Engineering, 2020
- Prediction of disease progression and outcomes in multiple sclerosis with machine learningScientific Reports, 2020
- fuzzy-rough-learn 0.1: A Python Library for Machine Learning with Fuzzy Rough SetsPublished by Springer Science and Business Media LLC ,2020
- Adherence and Satisfaction of Smartphone- and Smartwatch-Based Remote Active Testing and Passive Monitoring in People With Multiple Sclerosis: Nonrandomized Interventional Feasibility StudyJournal of Medical Internet Research, 2019
- Descriptive statistics and normality tests for statistical dataAnnals of Cardiac Anaesthesia, 2019
- Multiple Sclerosis: Pathogenesis, Symptoms, Diagnoses and Cell-Based Therapy2017
- Multiple sclerosisHandbook of Clinical Neurology, 2014
- Multiple sclerosis is primarily a neurodegenerative diseaseJournal of Neural Transmission, 2013
- Multiple sclerosis: diagnosis and the management of acute relapsesHeart, 2005
- Mann-Whitney test is not just a test of medians: differences in spread can be importantBMJ, 2001