An Ensemble Classification Technique of Neurodegenerative Diseases from Gait Analysis

2020 ◽  
Author(s):  
Mariam Heikal ◽  
Seif Eldawlatly
Keyword(s):  
Neurodegenerative Diseases ◽  
Gait Analysis ◽  
Ensemble Classification ◽  
Classification Technique

scholarly journals Human Gait Analysis in Neurodegenerative Diseases: a Review

2021 ◽  
pp. 1-1
Author(s):  
Grazia Cicirelli ◽  
Donato Impedovo ◽  
Vincenzo Dentamaro ◽  
Roberto Marani ◽  
Giuseppe Pirlo ◽  
...  
Keyword(s):  
Neurodegenerative Diseases ◽  
Gait Analysis ◽  
Human Gait ◽  
Human Gait Analysis

Systematic data analysis and data mining in CatWalk gait analysis by heat mapping exemplified in rodent models for neurodegenerative diseases

2019 ◽  
Vol 326 ◽  
pp. 108367 ◽  
Author(s):  
Ivanna K. Timotius ◽  
Fabio Canneva ◽  
Georgia Minakaki ◽  
Sandra Moceri ◽  
Anne-Christine Plank ◽  
...  
Keyword(s):  
Data Mining ◽  
Data Analysis ◽  
Neurodegenerative Diseases ◽  
Gait Analysis ◽  
Rodent Models ◽  
Systematic Data

Ensemble Data Classification based on Diversity of Classifiers Optimized by Genetic Algorithm

2012 ◽  
Vol 433-440 ◽  
pp. 6572-6578 ◽  
Author(s):  
Dech Thammasiri ◽  
Phayung Meesad
Keyword(s):  
Genetic Algorithm ◽  
Classification Accuracy ◽  
Majority Vote ◽  
Ensemble Classification ◽  
Support Vector ◽  
Classification Models ◽  
Accuracy Test ◽  
Ensemble Data ◽  
Classification Technique ◽  
Vector Machines

In this research we propose an ensemble classification technique base on creating classification from a variety of techniques such as decision trees, support vector machines, neural networks and then choosing optimize the appropriate classifiers by genetic algorithm and also combined by a majority vote in order to increase classification accuracy. From classification accuracy test on Australian Credit, German Credit and Bankruptcy Data, we found that the proposed ensemble classification models selected by genetic algorithm yields highest performance and our algorithms are effective in building ensemble.

scholarly journals Evolution of methods for assessing the motor function of laboratory rodents - neurodegenerative diseases models

2018 ◽  
Vol 1 (3) ◽  
pp. e00030
Author(s):  
M.M. Chicheva ◽  
E.V. Vikhareva ◽  
A.V. Maltsev ◽  
A.A. Ustyugov
Keyword(s):  
Neurodegenerative Diseases ◽  
Gait Analysis ◽  
Motor Function ◽  
Laboratory Rodents ◽  
Gait Parameters

This review contains information about different laboratorian rodent′s gait analysis systems. These methods are useful for the assessment of motor function in neurodegenerative models. The following aspects have been considered: ink traces technique, treadmills equipment, and modern gait analysis systems like TreadScan and CatWalk, which allows estimating a set of animals gait parameters. For each technique a detailed description and examples of its use for estimating gait parameters in neurodegenerative diseases are given.

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