深層強化学習を用いた患者の見守り支援システムへの看護理論適用に関する研究

抄録

To reduce fall risks for the patients in medical and nursing care facilities, I have proposed and developed a nursing assistant system applying artificial intelligence and robotics technologies that predict incidents and assist inventions by automatic risk-assessing the condition of patients and environments. However, it is very difficult to make judgments and actions properly even if multi-professional cooperation level recognition can be done depending on the situation for medical staff. Therefore, in this paper, we introduce a method of applying nursing theory using deep reinforcement learning to the recognition / judgment / control model mounted on the autonomous mobile nursing assist robots.