JSAI2019

Presentation information

General Session

General Session » [GS] J-13 AI application

[1H3-J-13] AI application: medicine and healthcare

Tue. Jun 4, 2019 3:20 PM - 5:00 PM Room H (303+304 Small meeting rooms)

Chair:Kenji Kondo Reviewer:Yoshikuni Sato

3:20 PM - 3:40 PM

[1H3-J-13-01] Realization of behavior prediction method using behavior log in the hospital and attribute information

〇Masanori Nakagawa1, Aoi Saito2, Kazuya Murakami3, Ryu Taniguchi1, Hiroyoshi Kuroda1, Masahiko Ito1, Tomomi Yajima4, Fumitake Hata4, Takafumi Nakanishi5 (1. Ricoh Co.,Ltd., 2. Ricoh IT Solutions Co.,Ltd., 3. Softcomm Co.,Ltd., 4. Sapporo Dohto Hospital Medical Corporation., 5. Musashino University)

Keywords:Medical, Deep Learning, Machine Learning

In this paper, we represent a realization method of behavior prediction by using behavior log in the hospital and attribute data of each nurse. In recent years, the busyness and complexity of medical staff’s work has become a social problem. It is important to realize the operational efficiency of medical staff by applying information technology. We are collecting behavior data by attaching RFID tags to medical staff and hospital patients in an actual medical field under the cooperation of Sapporo Dohto Hospital Medical Corporation. Our method realizes a behavior prediction based on behavior order by using these actual behavior data by applying Long-Short Term Memory (LSTM). We realize improving work efficiency such as optimal placement of medical staff by applying our behavior prediction method.