人工智慧心臟急性病發預警的系統

Provided is a method for early warning of acute heart attack of an artificial intelligence heart. A sensing device is provided to measure the physiological signal of the subject to obtain the heartbeat map and the electrocardiogram. A processing device is provided to identify the feature points and calculate the feature values and the physiological markers, and input the highly relevant physiological markers and the corresponding acute heart disease result into an ultimate learning machine so as to establish a predictive model, and then calculate a comprehensive disease risk probability value according to different influence factors of each physiological marker so as to establish an artificial intelligence risk evaluation system. Alternatively, the feature points, the feature values and physiological markers are transmitted to an artificial intelligence risk evaluation system with multiple risk factors, and are compared with the corresponding norm so as to obtain a comprehensive disease risk probability value by summing up the abnormal risk factors. Then, a determination module is provided to determine the risk level, which is reported to the user or the medical end to achieve early warning.