The individual support system for adapting traditional Japanese (Kampo) medicine - to choose right formulation and track patients’ history-
The individual support system for adapting traditional Japanese (Kampo) medicine - to choose right formulation and track patients’ history-
复制标题
适应传统日本（汉方）医学的个人支持系统 - 选择正确的配方并跟踪患者的病史 -
DOI：
10.1109/iaeac47372.2019.8997720
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发表时间：
2019
期刊：
影响因子：
--
通讯作者：
Ogoshi Yasuhiro
中科院分区：
文献类型：
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作者：
Mori Chika;Ogoshi Sakiko;Ogoshi Yasuhiro
最近，日本认识到了发育障碍者所面临的问题。在过去的研究中，我们开发了各种教育行为管理信息系统来帮助克服他们的困难。我们的系统的一个特点是考虑到每个人的具体困难，并努力为每个人“量身定做”一个支助方案，而不是对许多人使用同一个支助系统。我们现在认为，也可以为服用传统日本药物（汉方药）的患者开发这样的系统，因为必须根据每个患者的具体身体特征和疾病进展为他/她开具配方（根据特定配方混合草药的处方）。目前，医生和药剂师需要在这一领域的大量知识和经验，以便为患者选择合适的配方。使用我们开发的系统，很容易收集患者信息，例如，症状和感觉的变化，以及日常活动，包括通常对医学诊断不重要的活动。虽然信息量可能很大，但人工智能可能会揭示一些不明显的模式和关系。这些信息可以使配制比仅仅依赖配制者的具体知识和经验更容易。该系统的另一个好处是使跟踪病人的历史更容易。我们的初步案例研究表明，该系统可能对医生和患者都有好处。
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.