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 surface mount-video camera includes a video camera body with a lens oriented in a longitudinal direction, and a seat body to be mounted on a personal computer. The seat body includes an upper seat portion with a mounting hole defining a rotating axis transverse to the longitudinal direction. An anchored body has a lower cylindrical portion inserted rotatably and retainingly in the mounting hole about the rotating axis and downwardly beyond an inner annular engaging portion of the seat body, and a flange portion extending outwardly and radially from the lower cylindrical portion to be slidably rotatable relative to an outer annular engaging portion of the seat body. A first knuckle member is disposed on the flange portion with a hinging axis thereof extending in a direction transverse to both the rotating axis and the longitudinal direction of the lens.