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A New Approach to Identify High Burnout Medical Staffs by Kernel K-Means Cluster Analysis in a Regional Teaching Hospital in Taiwan

This study uses kernel k-means cluster analysis to identify medical staffs with high burnout. The data collected in October to November 2014 are from the emotional exhaustion dimension of the Chinese version of Safety Attitudes Questionnaire in a regional teaching hospital in Taiwan. The number of e...

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Kaydedildi:
Detaylı Bibliyografya
Yayımlandı:Inquiry
Asıl Yazarlar: Lee, Yii-Ching, Huang, Shian-Chang, Huang, Chih-Hsuan, Wu, Hsin-Hung
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: SAGE Publications 2016
Konular:
Online Erişim:https://ncbi.nlm.nih.gov/pmc/articles/PMC5798705/
https://ncbi.nlm.nih.gov/pubmed/27895218
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1177/0046958016679306
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