【摘要】 目的:通过自助设备日志分析,提升自助机用户体验和医院自助设备管理水平。方法:对设备日志正则解析后,利用Python的pandas、numpy、scipy、matplotlib库进行数据预处理和挖掘分析。结果:对设备、用户行为以及用户需求分别进行画像,并提出一种对可疑用户行为的监测方式。结论:通过数据分析,可提高医疗资源及时决策调拨能力及医院自助设备管理水平。更多还原

【Abstract】 Obejctive: Improve self-service user experience and hospital self-service equipment management level through selfservice device log analysis. Methods: After parsing the device log, Python’s pandas, numpy, scipy, and matplotlib libraries were used for data preprocessing and mining analysis, after parsing the device log through regular expression. Results: The equipment, user behavior and user needs were respectively imaged, and a way to monitor the behavior of suspicious users was proposed. Conclusion: Data analysis can improve the timely decision-making capacity of medical resources and the level of hospital self-service equipment management.更多还原