Abstract：Objective In order to provide a basis for constructing modular equipment systems for different types of emergencies, the
correlation between different emergencies and various medical rescue equipment was explored. Methods Firstly, the co-occurrence
frequency of different emergencies and equipment was calculated in the CNKI database to construct the thermal map of “eventequipment”,
and the co-occurrence analysis method was used in this progress. Secondly, three kinds of collinear network including
“event-event” “equipment-equipment” and “event-equipment” were constructed after the analysis of the social network, and then the
visual analysis was made through R software. Finally, the correlation between various equipment and emergencies was calculated
according to the above constructed “event-equipment” network. Results In general, epidemic prevention equipment, search and
rescue equipment, first aid equipment, individual protective equipment, and wounded person evacuation equipment were equipment
types with higher correlation in emergencies, and the correlation of epidemic prevention equipment was highest correlation among
them. From different events, the animal outbreaks and the infectious diseases were highest correlation with the epidemic prevention
equipment. However, mining accident, terrorist incident, and earthquake were highest correlation with the first aid equipment, the
individual protective equipment, the search and rescue equipment and the epidemic prevention equipment. Conclusion This study
is based on text mining association study, which helps to find the relational network between emergencies and medical rescue
equipment. In addition, it provides good data supports for further construction of modular rescue equipment system, and has good
practical application value.
周亮，胡坤鹏，唐硕，张平，张治钢，范立冬，肖南，李曙光. 基于文本挖掘方法的突发事件与医学救援装备关联研究[J]. 中国医疗设备, 2018, 33(3): 154-158.
ZHOU Liang, HU Kunpeng, TANG Shuo, ZHANG Ping, ZHANG Zhigang, FAN Lidong, XIAO Nan, LI Shuguang. Research on Association Between Emergency and Medical Rescue Equipment
Based on Text Mining Method. China Medical Devices, 2018, 33(3): 154-158.
