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 plant cultivating basin includes a basin containing a perforated conical cap located inside for holding soil and plants. The basin has a bottom opening and is placed upon a water container which has a side water funnel and water inlet to receive water. Fibrous roots of plants may pass through perforated cap to reach water container for water needed. The plant may grow without a lot of human care and attention.