Of the 12 models analyzed by BMA, there are 5 best models. Among them, 3-variables model (24-hour NIHSS stroke scale, Glasgow score at admission, and time from onset to intervention) has the best predictability to assess mortality risk in patients with acute cerebral infarction; with respective regression coefficients of 3.692x10 - 1, - 8.495x10 - 1, and 2.197x10 - 1; This model explains 74.3% of the variance of mortality risk in stroke patients and the lowest BIC of - 1.550×103.