Abstract: A method for analyzing an electrocardiography (ECG) signal is provided. The ECG signal is measured through a sensor. One or more specified waveforms in the ECG signal are detected. Multiple ECG features from each specified waveform are captured. The ECG features are input into multiple candidate models to obtain multiple candidate scores. Each candidate score is compared with a standard value to obtain an ideal score among the candidate scores. One of the candidate models corresponding to the ideal score is selected as a risk prediction model to predict disease risk through the risk prediction model.

Abstract: A method for analyzing an electrocardiography (ECG) signal is provided. The ECG signal is measured through a sensor. One or more specified waveforms in the ECG signal are detected. Multiple ECG features from each specified waveform are captured. The ECG features are input into multiple candidate models to obtain multiple candidate scores. Each candidate score is compared with a standard value to obtain an ideal score among the candidate scores. One of the candidate models corresponding to the ideal score is selected as a risk prediction model to predict disease risk through the risk prediction model.

Abstract: A statistical performance evaluation method for different grouping sets includes setting a plurality of first grouping ranges of a first grouping set corresponding to a sample space, setting a plurality of second grouping ranges of a second grouping set corresponding to the sample space, generating a plurality of first probability values and a plurality of first standard deviations corresponding to the plurality of first grouping ranges at each sampling time according to the sample space, generating a plurality of second probability values and a plurality of second standard deviations corresponding to the plurality of second grouping ranges at the each sampling time according to the sample space, and generating a plurality of statistical indicators corresponding to the first grouping set and the second grouping set and outputting a statistical performance ranking result of the first grouping set and the second grouping set accordingly.