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: The present invention discloses a projecting method from a mobile device to an on-board unit (OBU). The projection method includes steps of storing a first display frame data with a first resolution and a first color format of the OBU in a first writeback buffer; transferring the first display frame data to an OBU display; and displaying the first display frame data in the OBU display.

Abstract: An operational method between an on-board unit (OBU) and a mobile device is disclosed. The operational method includes connecting the OBU and the mobile device with a data link; and activating the OBU and the mobile device into a main mode for interaction.