Predicting family doctor contract fulfillment propensity using the FA-GA-BP model and per capita household expenditures

The findings indicate that the FA-GA-BP model provides reliable and generalizable predictions of the propensity to fulfill FDCS among residents. This robust inversion model, developed by optimizing the BP algorithm with FA and GA, exhibits high accuracy, low error, and good compatibility with data from diverse community datasets. The results have significant implications for the dynamic monitoring of FDCS fulfillment status.