NDLI: Sleep stages identification in patients with sleep disorder using k-means clustering

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Sleep stages identification in patients with sleep disorder using k-means clustering

Content Provider	Scilit
Author	Fadhlullah, M. U. Resahya, A. Nugraha, D. F. Yulita, I. N.
Copyright Year	2018
Description	Journal: Journal of Physics: Conference Series Data mining is a computational intelligence discipline where a large dataset processed using a certain method to look for patterns within the large dataset. This pattern then used for real time application or to develop some certain knowledge. This is a valuable tool to solve a complex problem, discover new knowledge, data analysis and decision making. To be able to get the pattern that lies inside the large dataset, clustering method is used to get the pattern. Clustering is basically grouping data that looks similar so a certain pattern can be seen in the large data set. Clustering itself has several algorithms to group the data into the corresponding cluster. This research used data from patients who suffer sleep disorders and aims to help people in the medical world to reduce the time required to classify the sleep stages from a patient who suffers from sleep disorders. This study used K-Means algorithm and silhouette evaluation to find out that 3 clusters are the optimal cluster for this dataset which means can be divided to 3 sleep stages.
Related Links	http://iopscience.iop.org/article/10.1088/1742-6596/1013/1/012162/pdf
ISSN	17426588
e-ISSN	17426596
DOI	10.1088/1742-6596/1013/1/012162
Journal	Journal of Physics: Conference Series
Issue Number	1
Volume Number	1013
Language	English
Publisher	IOP Publishing
Publisher Date	2018-05-16
Access Restriction	Open
Subject Keyword	Journal: Journal of Physics: Conference Series Hardware and Architecture Decision Making Used K Using K Means Sleep Disorders
Content Type	Text
Resource Type	Article
Subject	Physics and Astronomy

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