Abstract: A method for assessing occurrence of heart failure includes the following steps. A heart failure assessment program established is provided. A target ECG signal data of the subject is provided, wherein the target ECG signal data includes a plurality of target heartbeat waveform data and a plurality of target heart rate data. A data pre-processing step is performed, wherein the target ECG signal data is pre-processed by the data processing module so as to obtain a processed target ECG signal data. An analyzing step is performed, wherein the processed target ECG signal data is analyzed by the heart failure assessment program so as to obtain a heart failure occurrence assessing result, and the heart failure occurrence assessing result presents a heart failure occurring condition and the severity of the heart failure of the subject.

Abstract: A method for assessing fasting status includes the following steps. A fasting blood glucose database is provided, wherein the fasting blood glucose database includes a plurality of fasting blood glucose data and a plurality of non-fasting blood glucose data. A model establishing step is performed, wherein the plurality of fasting blood glucose data and the plurality of non-fasting blood glucose data are trained to achieve a convergence by a machine-learning model so as to obtain a fasting-status assessing classifier. An ontological data of a subject is provided, wherein the ontological data includes a blood glucose concentration data. An assessing step is performed, wherein the ontological data is analyzed by the fasting-status assessing classifier to obtain an assessing result of fasting status of the subject.