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http://dx.doi.org/10.5392/JKCA.2013.13.04.001

Performance Analysis of Intelligence Pain Nursing Intervention U-health System  

Jung, Hoill (상지대학교 컴퓨터정보공학부 지능시스템연구실)
Hyun, Yoo (상지대학교 시스템운영부)
Chung, Kyung-Yong (상지대학교 컴퓨터정보공학부)
Lee, Young-Ho (가천대학교 IT대학)
Publication Information
Abstract
A personalized recommendation system is a recommendation system that recommends goods to users' taste by using an automated information filtering technology. A collaborative filtering method in this technology is a method that discriminates certain types, which represent similar patterns. Thus, it is possible to estimate the pain strength based on the data of the patients who have the past similar types and extract related conditions according to the similarity in classified patients. A representative method using the Pearson correlation coefficient for extracting the similarity weight may represent inexact results as the sample data is small according to the amount of data. Also, it has a disadvantage that it is not possible to fast draw results due to the increase in calculations as a square scale as the sample data is large. In this paper, the excellency of the intelligence pain nursing intervention u-health system implemented by comparing the scale and similarity group of the sample data for extracting significant data is verified through the evaluation of MAE and Raking scoring. Based on the results of this verification, it is possible to present basic data and guidelines of the pain of patients recognized by nurses and that leads to improve the welfare of patients.
Keywords
Collaborative Filtering; Pain Nursing; Nursing Support; System Performance; U-health;
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Times Cited By KSCI : 1  (Citation Analysis)
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