The embodiment of the specification provides a dynamic cardiac
tamponade prediction method, device, medium and program product based on multi-
modal continuous monitoring data, and relates to the field of intelligent
medical treatment. The method comprises the following steps: receiving
pericardial effusion related physiological data including at least ultrasonic parameters, electrocardio parameters,
body surface temperature parameters and clinical sign data of a sample; extracting a current
effusion volume parameter in real time according to the ultrasonic parameters, and calculating an
effusion growth rate per unit time; quantitatively extracting a
heart rate value, a percentage of a decrease amplitude of a QRS
complex amplitude relative to a baseline and an alternating
change type of the QRS
complex amplitude according to the electrocardio parameters; analyzing a temperature change trend according to the
body surface temperature parameters; inputting the
effusion growth rate, the quantitative electrocardio parameters, the temperature change trend and the clinical sign data into a preset multi-
modal fusion scoring model to output a real-time comprehensive risk
score; and generating a dynamic early warning
signal of a corresponding level according to the real-time comprehensive risk
score to realize a prior prediction of a risk of cardiac
tamponade.