基于加权朴素贝叶斯的护理教学系统设计  

Design of Nursing Teaching System Based on Weighted Naive Bayes

作　　者：廖芬芳 LIAO Fenfang(Minxi Vocational&Technical College,FuJian LongYan 364000)

机构地区：[1]闽西职业技术学院,福建龙岩364000

出　　处：《长江信息通信》2024年第7期82-84,共3页Changjiang Information & Communications

摘　　要：为提高护理教学个性化教学效果与学习管理质量,该研究采用加权朴素贝叶斯算法作为核心技术手段。设计基于加权朴素贝叶斯的护理教学系统,系统设计包括算法优化、系统架构构建、软件功能模块开发及用户界面和交互设计。在加权机制设计中本研究细致地探讨了权重分配方法,以期在处理学习内容推荐与学习管理时,能更准确地反映学生学习需求与偏好。结果表明,通过加权朴素贝叶斯算法优化护理教学系统能显著提升内容推荐准确性与学习管理有效性,可为护理教育领域提供了一种新智能化教学解决方案。In order to improve thepersonalized teaching effectiveness and learning management quality of nursing teaching,this study adopts the weighted naive Bayes algorithm as the core tcchnical mcans.Design a nursing tcaching systcm bascd on wcighted naive Bayes,which in-cludes algorithm optimization,system architecture construction,software functional module de-velopment,and user interface and interaction design.In the design of the weighting mechanism,this study carefully explores the weight allocation method,in order to more accurately reflect the learning needs and preferences of students when dealing with learning content recommenda-tion and learning management.The results indicate that optimizing the nursing teaching system through weighted naive Bayes algorithm can significantly improve the accuracy of content rec-ommendation and the effectiveness of learning managemcnt,providing a new intelligent teach-ing solution for the field of nursing education.

关 键 词：加权朴素贝叶斯算法 护理教学系统 内容管理与推荐模块 

分 类 号：TP391.3[自动化与计算机技术—计算机应用技术]