Abstract: A dehydration amount prediction method for hemodialysis and an electronic device using the same are provided, and the method includes the following steps. Physiological data and hemodialysis treatment data of a first patient are obtained. The first patient is determined to belong to one of groups, wherein the groups are respectively associated with a plurality of prediction models. A target prediction model corresponding to the one of the groups is selected from the prediction models. The physiological data and the hemodialysis treatment data are provided to the target prediction model to generate a recommended dehydration amount by the target prediction model.

Abstract: A dehydration amount prediction method for hemodialysis and an electronic device using the same are provided, and the method includes the following steps. Physiological data and hemodialysis treatment data of a first patient are obtained. The first patient is determined to belong to one of groups, wherein the groups are respectively associated with a plurality of prediction models. A target prediction model corresponding to the one of the groups is selected from the prediction models. The physiological data and the hemodialysis treatment data are provided to the target prediction model to generate a recommended dehydration amount by the target prediction model.