Takeshi Imai

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Orthographic variance is a fundamental problem for many natural language processing applications. The Japanese language, in particular, contains many orthographic variants for two main reasons: (1) transliterated words allow many possible spelling variations , and (2) many characters in Japanese nouns can be omitted or substituted. Previous studies have(More)
This article discusses the ontological treatment of diseases in the framework of the Ontology for General Medical Science (OGMS). We aim to provide a definition of a disease that is more friendly to clinicians and propose a corresponding model of diseases. We define a disease as a dependent continuant constituted of one or more causal chains of clinical(More)
Although researchers have shown increasing interest in extracting/classifying semantic relations, most previous studies have basically relied on lexical patterns between terms. This paper proposes a novel way to accomplish the task: a system that captures a physical size of an entity. Experimental results revealed that our proposed method is feasible and(More)
In order to realize sophisticated medical information systems, many medical ontologies have been developed. We proposed a definition of disease based on River Flow Model which captures a disease as a causal chain of clinical disorders. We also developed a disease ontology based on the model. It includes definitions of more than 6,000 diseases with 17,000(More)
We have been building a Japanese medical ontology that provides an intelligent infrastructure for systematization and synthetic understanding of medical knowledge on a large scale. The objectives of our research include building a medical ontology and developing application systems based on it. We identified a few common fundamental technologies for(More)
PURPOSE We evaluate the status of health information system (HIS) adoption (In this paper, "HIS" means electronic medical record system (EMR) and computerized provider order entry system (CPOE)). We also evaluate the affect of the policies of Japanese government. METHODS The status of HIS adoption in Japan from 2002 to 2011 was investigated using reports(More)
* Exchanging medical data and information is important in the medical domain. This paper discusses abnormal states in the definition of diseases. First, we introduce our unified representation framework of abnormal states in a property-decomposed manner, which enables interoperability between clinical data and abnormal states in the definition of diseases.(More)
This paper discusses the ontological treatment of identity of a disease based on an ontological model of diseases as causal chains. An individual causal chain changes through its processes such as extending, branching, fading, etc. When we suppose that an individual disease is constituted by such a causal chain, changes of the causal chain imply changes of(More)
Exchanging huge volumes of data is a common concern in various fields. One issue has been the difficulty of cross-domain sharing of knowledge because of its highly heterogeneous nature. We constructed an ontological model of abnormal states from the generic to domain-specific level. We propose a unified form to describe an abnormal state as a "property",(More)