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 multi-reinforced construction panel comprising a metal wire mesh or plate folded by a press machine to take the shape of acute V formations, square wave formations, natural wave formations, or trapezoidal formations to work structurally as folded plates. Both side of said folded metal mesh or plates are covered with two metal meshes shaped like two flat panels, to be secured to embodiments by welding. The two flat metal meshes can have different fabric to enforce the framework structurally a light-weight raw material, such as expanded polystyrene or foamed PU, is used to insert onto the back and loin sections of the metal wire skeleton structure produced accordingly, so as to build up an accomplished multi-reinforce construction panel.