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引用本文:张春阳, 胡宏伟.基于神经网络的老年护理人员工作能力预测机制研究——职业化发展视域[J].中国卫生政策研究,2021,14(10):52-58
基于神经网络的老年护理人员工作能力预测机制研究——职业化发展视域
投稿时间:2021-04-26  修订日期:2021-09-22  PDF全文浏览  HTML全文浏览
张春阳, 胡宏伟
中国人民大学公共管理学院 北京 100872
摘要:目的:探讨职业化视域下我国老年护理人员工作能力的影响因素及预测机制。方法:采用问卷调研法从全国22个省份27个城市得到1 212份有效样本数据,基于神经网络模型构建我国老年护理人员工作能力的预测机制。结果:多层感知神经网络预测模型的训练收敛效果好,职业化的各特征要素能够较为准确的预测老年护理人员的工作能力,预测得职业化视域下老年护理人员的工作能力以中等层级为主。结论与建议:为进一步提升老年护理人员的工作能力,促进养老服务的职业化发展,通过借助神经网络模型完善人才测评体系,对不同工作能力层级的老年护理人员采取差异化管理办法,构建职业化的工作能力监测系统。
关键词:职业化  老年护理  神经网络模型  工作能力
基金项目:中国人民大学科学研究基金(中央高校基本科研业务费专项资金资助)项目(19XNB015)
Research on a prediction mechanism for the working ability of elderly nursing staff based on neural network: From the perspective of professionalization
ZHANG Chun-yang, HU Hong-wei
School of Public Administration, Renmin University of China, Beijing 100872, China
Abstract:Objective: To explore the influencing factors of the working ability of elderly nursing staff in China, and establish a prediction mechanism from the perspective of professional development. Methods: Data from 1212 effective samples were obtained from 27 cities of 22 provinces in China via questionnaire survey. A prediction mechanism for the working ability of elderly nursing staff in China was established based on the neural network model. Results: The multi-layer perceptual neural network prediction model had a remarkable training convergence effect, and the prediction based on the characteristic elements of professionalism had a high accuracy. The predicted working ability of elderly nursing staff from the perspective of professionalization was mostly at the medium level. Conclusion and suggestions: In order to further improve the working ability of elderly nursing staff and promote the professional development of elderly nursing service industry, it is suggested to take advantage of the neural network model to refine the talent evaluation system, adopt different management strategies for different working ability levels of elderly nursing staff, and build a professionalized working ability monitoring system.
Key words:Professionalization  Elderly nursing  Neural network model  Work ability
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