NeuroEDA – An Interactive Web Tool for Neuroinformatics Data Analysis and Teaching Biomedical Statistics

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21460%2F17%3A00316268" target="_blank" >RIV/68407700:21460/17:00316268 - isvavai.cz</a>

Result on the web

<a href="http://mj.mefanet.cz/mj-20170724" target="_blank" >http://mj.mefanet.cz/mj-20170724</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

NeuroEDA – An Interactive Web Tool for Neuroinformatics Data Analysis and Teaching Biomedical Statistics

Original language description

Objective: The aim of the study is to design and develop software, which implements current EDA packages and model making procedures for neurological data analyses which could be easily modified. The second objective is to evaluate the possibility of supporting the education of biomedical engineering students at the undergraduate level in order to provide effective support in biomedical data analysis. Methods: An application has been created under the reactive Shiny framework in the R language. Data in .csv or .tsv format are processed on the server side of the application. Results: We have developed a new easy-to-use software named NeuroEDA for interactive web-based biomedical data assessment. This application covers basic descriptive statistics, exploratory graphs and cluster analysis, which is also suitable for big data examination. Furthermore, this application offers methods for robust and non-parametric analysis. These are particularly useful in neuroinformatics from our long-term experience. The application was practically deployed in the evaluation of clinical neurological data and in teaching the subject Biomedical Statistics. Conclusion: We have introduced the possibility of creating biomedical software for clinical use and demonstration in teaching. Among the advantages of the application, is that it is easily expandability with new R packages and quick processing in web browsers. The interactive user interface allows one to work with R’s functions without needing scripting/programming knowledge. Students can acquire practical experience in processing and transformation of heterogeneous medical data not only in biomedical engineering fields, but also at the medical faculties for Medical Informatics. This application is actively used for neuroinformatics data assessment and in discovering some potentially useable hypotheses.

Czech name

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Czech description

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Type

J_ost - Miscellaneous article in a specialist periodical

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

<a href="/en/project/NV16-28119A" target="_blank" >NV16-28119A: Analysis of movement disorders for the study of extrapyramidal diseases mechanisms using motion capture camera systems</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2017

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

MEFANET Journal

ISSN

1805-9163

e-ISSN

1805-9171

Volume of the periodical

5

Issue of the periodical within the volume

2

Country of publishing house

CZ - CZECH REPUBLIC

Number of pages

7

Pages from-to

62-68

UT code for WoS article

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EID of the result in the Scopus database

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