Intelligent decision support for real time health care monitoring system
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F15%3A86097014" target="_blank" >RIV/61989100:27240/15:86097014 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27740/15:86097014
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-13572-4_15" target="_blank" >http://dx.doi.org/10.1007/978-3-319-13572-4_15</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-13572-4_15" target="_blank" >10.1007/978-3-319-13572-4_15</a>
Alternative languages
Result language
angličtina
Original language name
Intelligent decision support for real time health care monitoring system
Original language description
In the health care monitoring, data mining is mainly used for classification and predicting the diseases. Various data mining techniques are available for classification and predicting diseases. This paper analyzes and evaluates various classification techniques for decision support system and for assisting an intelligent health monitoring system. The aim of this paper is to investigate the experimental results of the performance of different classification techniques for classifying the data from different wearable sensors used for monitoring different diseases. The Base Classifiers Proposed used in this work are IBk, Attribute Selected Classifier, Bagging, PART, J48, LMT, Random Forest and the Random Tree algorithm. Experiments are conducted on wearable sensors vital signs data set, which was simulated using a hospital environment. The main focus was to reduce the dimensionality of the attributes and perform different comparative analysis and evaluation using various evaluation metho
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/ED1.1.00%2F02.0070" target="_blank" >ED1.1.00/02.0070: IT4Innovations Centre of Excellence</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Advances in Intelligent Systems and Computing. Volume 334
ISBN
978-3-319-13571-7
ISSN
2194-5357
e-ISSN
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Number of pages
10
Pages from-to
183-192
Publisher name
Springer
Place of publication
Heidelberg
Event location
Addis Ababa
Event date
Nov 17, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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