Development of Vurtual Patient for Post Graduate Clinical Training in Dentistrg

本研究的目的是为了支持年轻的牙科医生参加口腔临床培训课程。研究的第一阶段是为了开发一个基于万维网(WWW)的交互式教育软件，模拟牙科临床中的初诊患者。第二阶段是开发一个虚拟口腔生成器。我们的系统不处理语音输入和合成语音回复，而是使用WWW浏览器上的典型句子来处理牙科临床中普通初诊患者所使用的典型句子。我们的系统响应了机器在系统中输入关键词的问题，并提出了一个问题，该问题是没有实现的系统将自动写入硬盘上的文件，并最终选择积累的问题添加到系统中。这意味着我们的系统将与用户擦肩而过。本系统向教职员工开放后，一名研究生回复我们说，Ove…的家人我们大学里更多的学生不懂日语，他们有时在牙科诊所遇到麻烦。然后，我们修改了我们的系统，以处理日语、汉语、韩语、英语和法语等多语言的医学问诊。这是我们的第二个产品。这个系统不仅适用于海外人员，也适用于我们医院的工作人员，他们不能用母语解释患者的病情。我们研究的第三个产品是虚拟患者，为了使我们的虚拟患者更接近日本真实患者的状态，我们设计了三种算法来生成虚拟患者。第一种算法是将每个牙齿的每个状态分别用随机值进行处理。该系统有时会在虚拟患者中生成一种不平衡的口腔类型。然后，我们设计了三种算法来生成虚拟患者。然后，我们设计了三种算法来生成虚拟患者。第一种算法是将每个牙齿的状态分别用随机数值来表示。有时，该系统会在虚拟患者中生成不平衡的口腔类型。然后，我们设计了三种算法来生成虚拟患者我们尝试了另一种两阶段算法，第一阶段是将患者作为一个整体进行评估，并根据来自真实世界的值来划分他们的口腔健康阶段；第二阶段是根据随机函数中较小的值来分配牙齿的状态，用该方法生成的虚拟口腔比以前更加逼真。较少

The aim of this study was to support young dentists in a postgraduate clinical training course with a vurtual patient in dentistry.The first stage of our study was designed to develop a World Wide Web (WWW) based interactive educational software which mimics a first coming patient in a dental clinic.And the second stage was developping a generator for a virtual oral cavity.Our system does not handle voice input and synthesized voice reply but works on a WWW browser with typical sentences that were used by an ordinary first coming patient in a dental clinic.Our sytem resonses the question that maches keywords in the system.And a question that was not inplemented to our system will be automatically write to the files on the hard disc and accumulated questions were selcted and added to the system eventually.This means that our system will brushed up with users.After the opening of this system to the users in our faculty, a postgraduate student replied us that the family members of the ove … More rsea students in our university could not understand Japanese and they sometime have troubles in a dental clinic.Then, we modified our system to handle multilingual medical interviews such as Japanese, Chinese, Korea, English and French.This was our second product.This system was not only for the oversea people but also for our hospital staff who could not explain disease status of the patient with patient's native language.The third product of our study was virtual patient, itself.We have had an analysys for the Updates of Japanese Dental Health in 1997 to make our virtual patient more likely to the real patient's status in Japan.We have designed three types of algorizm to generate the virtual patient.The first one was making every status of every teeth individually with randam values.Sometimes, this system generated an unblanced type of oral cavity in virtul patient.Then, we tried another algorizm of two stage method.The first stage was evaluating the patient as a whole and assigned their oral health stage according to the values from the real world.The second stage was to assigned the status of tooth according to more small values from the randam function.The virtual oral cavity that were generated with this method had more reality than before. Less