Clinical narratives contain important information such as symptoms and findings, and there is a need for technology to automatically extract this information. The development of practical technology requires a corpus with annotations that cover all the described information, while such a corpus does not exist at present. We have developed and published a corpus of case reports with comprehensive annotations on patient conditions. In this paper, we report on the establishment of the annotation criteria. As a result of repeatedly annotating case reports and modifying the annotation criteria, we obtained annotation criteria consisting of 50 entity types, 14 attributes, and 36 relations, which not only allow us to express more detailed information than previous studies, but also allow us to capture temporal changes in factuality that could not be expressed before.

　There are 7,000 to 8,000 rare diseases globally, 95％ of which have no therapeutic options. Since 80％ of rare diseases are hereditary, information on pathogenic genes and their frequency is essential for drug discovery. As genetic data accumulated in direct-to-consumer (DTC) genetic testing services have been used for academic research mainly in Europe and the United States, we calculated allele frequencies of several genes related to rare diseases and hereditary diseases using genetic data gathered in a genetic testing service for the Japanese and compared them with previously reported data.

　Allele frequencies of CFTR, GBA, and BRCA1/2 were conventionally thought to be low in the Japanese, but our results were consistent with recent reports that they are as high as in the Western. Therefore, the information accumulated in the DTC genetic testing service is effective and valid for academic research on rare diseases in Japan.

　In CiNii Dissertations, a bibliography database, about 600,000 dissertations that are available to the public in the institutional repositories, such as universities in Japan, are published. We identified 2,315 dissertations related to nursing by using this database and investigated them in terms of quality and quantity by the technique of text mining. As a result, the research trends, and characteristics of Japan nursing education, over the past 78 years since 1944 to 2021, has become clear. The number of the nursing related dissertations gradually increased from the late 1990s and that was at its peak in 2015. It is thought that this was affected by the political background, i.e. that establishment of the nursing graduate schools accelerated because of `Act on Assurance of Work Forces of Nurses and Other Medical Experts, 1992’. Typical research themes have changed according to the societal trends in each generation, and the historical backgrounds of such research. For the development of the text mining study, the dictionary tool in each field is necessary.