Research Title |
A Comparison of Effectiveness of Risk Data Clustering Method in Psychiatric Patient Service |
Date of Distribution |
7 October 2013 |
Conference |
Title of the Conference |
Proceeding of the 5th International Conference on Information Technology and Electrical Engineering (ICITEE 2013) |
Organiser |
Department of Electrical Engineering and Information Technology, Universitas Gadjah Mada (UGM), Yogyakarta Indonesia |
Conference Place |
The Sahid Rich Jogja Hotel |
Province/State |
Yogyakarta Indonesia |
Conference Date |
7 October 2013 |
To |
8 October 2013 |
Proceeding Paper |
Volume |
2013 |
Issue |
CFP13TEF-ART; ISBN: 978-1-4799-0425-9 |
Page |
2-7 |
Editors/edition/publisher |
Curran Associates, Inc. 57 Morehouse Lane Red Hook, NY 12571 USA +1 845 758 0400 +1 845 758 2633 (FAX) Email: curran@proceedings.com |
Abstract |
In this paper, we clustered clinical risk data of a mental health service, Khon Kaen Rajanagarindra Psychiatric Hospital. This study aims to compare performance values of cluster (k) in k-means clustering algorithm and hierarchical clustering algorithm. The result shows that for k-means clustering algorithm, sum of squared error (SSE) is 32.68, minimum of distance (MD) is 1.38, mean squared error (MSE) is 2.95 and values of k is 11. Therefore, we found that k-means clustering algorithm is the most appropriate method for using in cluster the risk group of the Psychiatric Patient Service. The result also suggests that the most risky age is between the ages of 32 and 36. The result can be a guideline for further research about data prediction. The implications of this study can assist medical staff to be knowledgeable about what should beware of when they treat psychiatric patients and this can be basic planning medicate guidelines for medical staff. |
Author |
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Peer Review Status |
มีผู้ประเมินอิสระ |
Level of Conference |
นานาชาติ |
Type of Proceeding |
Full paper |
Type of Presentation |
Oral |
Part of thesis |
true |
ใช้สำหรับสำเร็จการศึกษา |
ไม่เป็น |
Presentation awarding |
false |
Attach file |
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Citation |
0
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