Abstract
The fall accident in the hospital is one of the serious problems and occupies approximately 60% of the accident to occur in a hospital. In the hospital, a device to detect the fall accident from a bed is installed, but there is not the effect to reduce a fall accident. Therefore the quick estimated technique of the fall risk from a bed is required to prevent a fall accident. This paper proposes to construct the estimation model for the inpatient's fall risk based on the fuzzy reasoning and real-coded genetic algorithms by fall assessment scores and the working nurse's experiment. The effectiveness of the constructed model is assured by comparing with the nurse's experiment, and the possibility of the fall risk estimate in the hospital is suggested.
