According to an embodiment of the present disclosure, there are disclosed a method, computer program and device for measuring a continuous body condition based on deep learning, which are performed by a computing device. The method includes: acquiring electrocardiogram data; and inferring a body condition corresponding to the occurrence or progress of a disease in a subject, whose electrocardiogram data was measured, based on the electrocardiogram data by using a pre-trained neural network model. The neural network model has been trained based on at least one of a first feature related to biological information representing a body characteristic having a correlation with the disease and a second feature related to pathological information reflecting the degree of progress of the disease therein.