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 door lock apparatus and method for security identification by using a wireless communication device are proposed. Due to the uniqueness of the IMSI (International Mobile Subscriber Identification Number) contained in a SIM (Universal Subscriber Identity Module, USIM) card of a wireless communication device, such as cellular phone, the present invention uses a non-contact sensor to read the IMSI for security identification and thereby determine whether an electric lock should be locked or unlocked. Since the IMSI is unique for each wireless device, the security of the entrance control can be improved considerably. By this way, the wireless communication device can be applied to the identification mechanism of entrance locks, car's door locks or car's actuation.