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 resistance arranging system and method based on a RS-485 network are disclosed. A detection packet is generated and a circuit loop is received, so that the detection packet is taken as a basis signal and the received detection packet through the circuit loop is taken as a comparison signal, and push-up, pull-down and terminal resistors are arranged by controlling the switch according to the basis signal and the comparison signal, whereby achieving in a technical efficacy of convenience of promoting the resistors arrangement.

Abstract: A resistance arranging system and method based on a RS-485 network are disclosed. A detection packet is generated and a circuit loop is received, so that the detection packet is taken as a basis signal and the received detection packet through the circuit loop is taken as a comparison signal, and push-up, pull-down and terminal resistors are arranged by controlling the switch according to the basis signal and the comparison signal, whereby achieving in a technical efficacy of convenience of promoting the resistors arrangement.