To identify clinical and image features significantly associated with outcomes, a univariate analysis was conducted on all study variables to determine independent risk factors for inclusion in the prediction model. Continuous variables were assessed for normal distribution using the Kolmogorov-Smirnov test, with those conforming to both normal distribution and homogeneous variance analyzed by independent sample t-test; otherwise, Wilcoxon rank-sum test was used. Categorical variables were analyzed using chi-square tests. A two-sided P value < 0.05 was considered statistically significant. Statistical analysis was performed using version 2.2 of the Deepwise Multimodal Research Platform (https://keyan.deepwise.com, Beijing Deepwise & League of PHD Technology Co., Ltd, Beijing, China).
![驱动代码
void kalRxTaskletSchedule(struct GLUE_INFO *pr)
{
static unsigned int num = 0;
tasklet_hi_schedule(&pr->rRxTask[(num++)%NR_CPUS]);
// tasklet_hi_schedule(&pr->rRxTask);
DBGLOG(HAL, ERROR,](https://linuxcpp.0voice.com/zb_users/upload/2023/05/202305162226144313964.png)
