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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...

詳細記述

保存先:
書誌詳細
出版年:Inquiry
主要な著者: Lee, Yii-Ching, Huang, Shian-Chang, Huang, Chih-Hsuan, Wu, Hsin-Hung
フォーマット: Artigo
言語:Inglês
出版事項: SAGE Publications 2016
主題:
オンライン・アクセス: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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