4S-6
On Mental State Detection and Tagging in Nursing Records
○Antonia Scheidel，蜂谷和士，Ahmad Zufri，橋本和夫（東北大）
It is important to analyze nursing records together with incident reports, called HIYARI-HATTO reports, to detect possible risks in the daily life of the elderly. However, it is difficult for service providers to analyze such records in addition to the daily burden of elderly care.
In the hope of facilitating such analysis, the authors are applying topic detection technology to nursing records to enable efficient discovery of health status changes.
In this paper, we discuss the possibility of using Minato et al. (2009)'s Japanese Emotion Corpus to determine which entries in care records comment on patients' state of mental health and to assign emotion categories to these entries.