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The individual support system for adapting traditional Japanese (Kampo) medicine - to choose right formulation and track patients’ history-

机译:用于调整传统日语(Kampo)医学的个人支持系统 - 选择正确的配方和轨道患者的历史 -

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Recently the problems faced by people with developmental disabilities have been recognized in Japan. In past studies various education behavior management information systems to help overcome their difficulties have been developed by us. A feature of our systems is to consider each individual’s specific difficulties and to try to develop a support program ‘tailor-made’ for each person, rather than using the same support system for many individuals. We now think that such a system could also be developed for patients taking traditional Japanese medicine (Kampo medicine) because formulations (decoctions of mixtures of herbs according to specific formulas) have to be prescribed for each patient according to his/her specific physical characteristics and the progression of illness. At the present time, doctors and pharmacists need a lot of knowledge and experience in this field in order to choose an appropriate formulation for the patient.Using a system we developed, it is easy to gather patient information, e.g., changes in symptoms and feelings, and daily activities including ones usually not seen as important for medical diagnosis. Although the amount of the information may be huge, AI may reveal some patterns and relationships not otherwise obvious. Such information may make formulation easier than just depending on the specific knowledge and experience of the formulator. Another benefit of the system is to make tracking of the patient’s history easier. Our preliminary case study suggests that this system could have benefits for both doctors and patients.
机译:最近,人们面临着发展障碍面临的问题已在日本得到认可。在过去的研究中,各种教育行为管理信息系统有助于克服他们的困难是由我们开发的。我们的系统的一个特征是考虑每个人的具体困难,并试图为每个人制定支持计划“量身定制”,而不是为许多人使用相同的支持系统。我们现在认为也可以为服用传统日本医学(Kampo医学)的患者开发这种系统,因为根据他/她的特定物理特征,必须为每位患者开展制剂(根据特定配方的混合物的混合物)疾病的进展。目前,医生和药剂师在这一领域需要很多知识和经验,以便为患者选择合适的制定。使用我们开发的系统,很容易收集患者信息,例如症状和感受的变化以及日常活动,包括通常没有被视为对医学诊断重要的活动。虽然信息的数量可能是巨大的,但AI可能会揭示一些模式和关系,并不明显。此类信息可以使配方更容易,这取决于配方仪的具体知识和经验。该系统的另一个好处是使患者的历史更容易地跟踪。我们的初步案例研究表明,该系统可能对医生和患者产生福利。

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