A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
Please note that all translations are automatically generated. Click here for the English version.
10.6K Views
•
10:46 min
•
December 9th, 2015
DOI :
December 9th, 2015
•Rozdziały w tym wideo
0:05
Title
1:06
Preparing the Observed Relapse Onset Data
3:10
Building a Model
4:40
Estimating the Peak Relapse Probability
5:26
Modeling the Ultraviolet Radiation Data (UVR)
7:05
Modeling UVR-trough-to-relapse-peak Lag
8:34
Results: MS-patient Seasonal Relapse with an Equatorial Effect
9:50
Conclusion
Powiązane Filmy
16:13
Modeling Neural Immune Signaling of Episodic and Chronic Migraine Using Spreading Depression In Vitro
20.0K Views
14:27
Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
15.6K Views
06:48
Lexical Decision Task for Studying Written Word Recognition in Adults with and without Dementia or Mild Cognitive Impairment
9.0K Views
10:28
Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease
15.0K Views
11:35
The Multiple Sclerosis Performance Test (MSPT): An iPad-Based Disability Assessment Tool
57.7K Views
06:49
A Quick Phenotypic Neurological Scoring System for Evaluating Disease Progression in the SOD1-G93A Mouse Model of ALS
19.4K Views
07:41
Modeling Fast-scan Cyclic Voltammetry Data from Electrically Stimulated Dopamine Neurotransmission Data Using QNsim1.0
9.8K Views
05:19
Closed-Loop Neurostimulation for Biomarker-Driven, Personalized Treatment of Major Depressive Disorder
2.1K Views
05:44
Modeling Multiple Sclerosis in the Two Sexes: MOG35-55-Induced Experimental Autoimmune Encephalomyelitis
1.2K Views
04:35
Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
3.3K Views
Copyright © 2025 MyJoVE Corporation. Wszelkie prawa zastrzeżone