*Keiichi Shigetome1, Kentaro Oniki1, Keiji Takata2, Yuki Tateyama3, Hiroki Yasuda4, Miu Yokota2, Sae Yamauchi5, Norio Yasui-Furukori6, Kazunori D Yamada7, Junji Saruwatari1
(1. Division of Pharmacology and Therapeutics, Graduate School of Pharmaceutical Sciences, Kumamoto University, Kumamoto, Japan, 2. Division of Pharmacy, Sakurajyuji Hospital, Kumamoto, Japan, 3. Division of Nursing, Sakurajyuji Hospital, Kumamoto, Japan, 4. Division of Respiratory Medicine, Sakurajyuji Hospital, Kumamoto, Japan, 5. Division of Nutrition, Sakurajyuji Hospital, Kumamoto, Japan, 6. Department of Psychiatry, Dokkyo Medical University School of Medicine, Tochigi, Japan, 7. Unprecedented-scale Data Analytics Center, Tohoku University, Sendai, Japan)
Keywords:Elderly, Motor function, Machine learning
Abstract password authentication.
Password is required to view the abstract. Please enter a password to authenticate.