1 results about "High risk factors" patented technology

This invention discloses a machine learning-based method for predicting postoperative pain and extracting high-risk factors after cesarean section, belonging to the field of postoperative pain detection technology. It involves a unified modeling of static variables such as preoperative and intraoperative demographic characteristics, medical history, and surgical parameters, along with dynamic variables such as physiological monitoring indicators and analgesia intervention data obtained at different postoperative recovery stages. A two-branch prediction model with a static coding branch and a dynamic evolution branch is constructed. After model training, the SHAP attribution algorithm is introduced to interpret and analyze the prediction model, decomposing the model output into the contribution of each input variable to the prediction result, thereby quantifying the influence of each factor on pain risk. This invention utilizes a recurrent neural network to model the dynamic feature sequence that changes over time, enabling the model to learn the evolutionary pattern of postoperative pain as it changes with the recovery stage, improving the accuracy and stability of chronic pain risk prediction.