Abstract: An acute kidney injury predicting system and a method thereof are proposed. A processor reads the data to be tested, the detection data, the machine learning algorithm and the risk probability comparison table from a main memory. The processor trains the detection data according to the machine learning algorithm to generate an acute kidney injury prediction model, and inputs the data to be tested into the acute kidney injury prediction model to generate an acute kidney injury characteristic risk probability and a data sequence table. The data sequence table lists the data to be tested in sequence according to a proportion of each of the data to be tested in the acute kidney injury characteristics. The processor selects one of the medical treatment data from the risk probability comparison table according to the acute kidney injury characteristic risk probability.

Abstract: A drone includes a drone main body and a parachute module. The parachute module includes a base, a housing, an inflatable material, a parachute, and an inflating device. The base is disposed on the drone main body. The housing covers the base to form a containing space therebetween. The inflatable material is disposed on the base and furled in the containing space. The parachute is connected to the inflatable material and the housing and is furled in the containing space. The inflating device is disposed on the base and connected to the inflatable material. When the inflating device inflates the inflatable material, the inflatable material expands and strikes the housing, so that the housing is separated from the drone main body, so as to increase a distance between the parachute and the drone main body and deploy the parachute. In addition, a control method of the drone is also provided.