Identification of Susceptible and High-Risk Population for Postoperative Systemic Inflammatory Response Syndrome in Elderly Patients: A Machine Learning-Based Predictive Model (Preprint)

Systemic inflammatory response syndrome (SIRS) is a serious postoperative complication among geriatric surgical patients, which frequently develops into sepsis or even death. Notably, the incidence of SIRS and sepsis steadily increased with age. It's important to identify the risk of postoperative SIRS for elderly patients at a sufficiently early stage, which would allow preemptive individualized enhanced therapy to be conducted to improve the prognosis of elderly patients. In recent years, ML models have been deployed by researchers for many tasks, including disease prediction and risk stratification, exhibiting good application potential.