The invention relates to the technical field of
big data mining, in particular to an intelligent
nursing decision support system for
cardiology department interventional operation patients, which comprises a
data analysis module, a feature calculation module, a stress judgment module, a
recovery analysis module and a decision optimization module. According to the method, the operation state of the interventional equipment and the multi-source physiological signals are synchronously analyzed, time boundary recognition of the interventional stage is achieved, a stable physiological response feature sequence is constructed in the continuous stage, and the electrocardio and
blood pressure change trends can form a comparable overall relation; according to the method, the
cardiac muscle load state and stage difference are accurately reflected,
correlation analysis is performed in combination with the
recovery behavior after the load is ended, so that the
nursing instruction can be subjected to sequence and interval adjustment according to the continuous change trend, the inter-stage instruction conflict is effectively reduced, and the stable performance of the
nursing decision in the aspects of
time sequence consistency and individual suitability is improved.