智能机械板块控制的新型分类系统:通过集群分析进行横截面调查
Balraj R Shukla1, Anup K Panda1
1Department of Pediatrics and Preventive Dentistry, College of Dental Sciences and Research Centre, Gujarat University, Ahmedabad, Gujarat, India.
概括
许多人对先进的机械斑块控制 (MPC) 设备缺乏了解. 本研究引入了智能MPC的新分类系统,以解决这一差距并改善口腔卫生实践.
科学领域:
- 口腔卫生 口腔卫生
- 牙科技术 牙科技术
- 公共卫生 公共卫生
背景情况:
- 机械板块控制 (MPC) 设备正在进步,但知识差距仍然存在.
- 医疗保健专业知识,制造商对社区需求的理解和患者采用智能MPC之间的关联不清楚.
- 为了解决这些研究缺陷,提出了智能MPC的新型分类系统.
研究的目的:
- 调查有关先进机械斑块控制 (MPC) 设备的知识,态度和实践 (KAP).
- 开发基于用户数据的智能MPC新型分类系统.
- 确定影响采用先进口腔卫生技术的因素.
主要方法:
- 基于知识,态度和实践 (KAP) 模型的定制问卷调查对618名参与者进行了管理.
- 数据分析包括重要变量Chi-square测试,K-means集群和集群分析的轮评分.
- 使用回归分析来检查相关变量之间的关系.
主要成果:
- 九个成分通过基平方测试显示了统计学上显著的关联 (P <0.05).
- 从显著参数中,K-means集群确定了六个不同的集群 (轮得分>0.5).
- 聚类结果为开发智能MPC的新分类系统提供了信息.
结论:
- 在参与者中观察到,他们对先进的MPC设备的知识严重缺乏.
- 参与者在遵守基本口腔卫生程序方面表现出疏忽.
- 由此产生的分类系统为理解机械斑块控制的升级模式提供了一个框架.
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