权益分类	功能权益	普通用户	{{item.name}}会员
{{category.name}}	{{benefitItem.name}}

Investigation of Occlusion State, Autonomic Nervous System and Teeth Grind Aimed at Infants, and Clarification of Causality Using Analysis Aided by Computers

针对婴儿的咬合状态、自主神经系统和磨牙情况的调查，并通过计算机辅助分析阐明因果关系

基本信息

批准号：
13650466
负责人：
SUZUKI Hisashi
金额：
$ 2.37万
依托单位：
CHUO UNIVERSITY
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (C)
财政年份：
2001
资助国家：
日本
起止时间：
2001 至 2002
项目状态：
已结题

项目摘要

A goal of this research is to investigate occlusion state, autonomic nervous system and teeth grind aimed at infants and another is to clarify their causality using analysis aided by computers. For these goals, the research group collected practical examples for children the shapes of whose oral cavities vary as their growth. A case is a younger child with TMD due to oral habit. A 4 years 2 months old girl visited the hospital with the chief complaint of mandibular protrusion and clicking. She has the habit of mandibular protrusion since the age of 2 years. She has had pain and clicking of the right TMJ before going to bed since the age of 3 years 6 months. Afterward she has left the symptoms and protruded the mandible with high frequency. Roentogengraphic examination revealed no abnormality on her condylar heads. The jaw-opening and -closing pathways of the incisor point movement was in disorder. Also there was restriction of the frontal movement. Treatment was kept the patient not to protrude the mandible. There was free from the clicking and the habit that she protruded the mandible after 9 months. Secondly, the research group developed a methodology of extracting causality by using multidimensional Boolean logical analysis instead of extracting correlation by using usual data processing techniques such as multi-variate analysis. Boolean multivalued logic such that the whole set of logic formulas forms a Boolean algebra inherits those theorems, laws, etc. which are obtained in traditional Boolean binary logic, and improves the view in analyzing logical things. This research defined Boolean multivalued logic by coding binary fractions being greater than or equal to 0 and less than 1 directly as truth values. To handle readily Bayesian theory rationalizing collection of knowledges via observation, it also introduced an arithmetic operation called "conditioning".

本研究的一个目的是调查针对婴儿的咬合状态、自主神经系统和磨牙情况，另一个目的是利用计算机辅助分析来澄清它们之间的因果关系。为了实现这些目标，研究小组收集了儿童的实际例子，这些儿童的口腔形状随着他们的成长而变化。一个病例是一名年龄较小的儿童由于口腔习惯而患有TMD。一名4岁2个月大的女孩来医院就诊，主诉为下颌前突和咬合。她从2岁起就有下颌前突的习惯。她从3岁零6个月开始，睡前一直有疼痛和右侧TMJ的滴答声。之后，她已经离开了症状，并以高频率突出下颌。X线片检查显示她的髁突头部没有异常。切牙点运动的张开和闭合路径紊乱。额叶运动也受到限制。治疗使病人保持下颌骨不突出。9个月后，她摆脱了滴答声和突出下颌的习惯。其次，研究小组开发了一种通过使用多维布尔逻辑分析来提取因果关系的方法，而不是使用常用的数据处理技术(如多变量分析)来提取相关性。布尔多值逻辑使得整个逻辑公式集构成一个布尔代数，继承了传统布尔二值逻辑中得到的那些定理、定律等，改进了分析逻辑事物的观点。这项研究通过将大于或等于0且小于1的二进制分数直接编码为真值来定义布尔多值逻辑。为了方便地运用贝叶斯理论，通过观察使知识收集合理化，它还引入了一种称为条件运算的算术运算。