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

• मुख्य लेखकों: Yii-Ching Lee PhD (लेखक), Shian-Chang Huang PhD (लेखक), Chih-Hsuan Huang PhD (लेखक), Hsin-Hung Wu PhD (लेखक)
• स्वरूप: पुस्तक
• प्रकाशित: SAGE Publishing, 2016-11-01T00:00:00Z.
• विषय: article
• ऑनलाइन पहुंच: Connect to this object online.

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...