Due to the progressive complexity of traffic networks, the traffic pressure increases sharply and traffic accidents occur frequently, which is largely posed by imprecise traffic information service provided in existing Intelligent traffic service systems (ITSSs). To relieve traffic information trek encountered in complex traffic networks, the personalized traffic information recommendation based on click through rate (CTR) prediction has attracted extensive attention. However, the data sparsity and cold start problems in traditional recommendations hinder their real-time applications in ITSSs. In this paper, the multisource data with different types of context information are utilized to construct a personalized fine-grained recommendation method for intelligent traffic services (PF-ITS), which includes three components: a road condition optimization strategy (RCOS) to capture users' behavior preferences and traffic patterns, an encoder-decoder long short-term memory (LSTM) model to address the data sparsity and cold start problems with rich context information, and an improved DeepFM model based on attention mechanism (DeepAFM) to exert personalized fine-grained traffic information recommendation with embeddings of multisource data. More specifically, the RCOS is proposed to perform coarsegrained route recommendation based on path planning
Background
Right ventricular (RV) dysfunction played a decisive role in clinical management and associated with poor prognosis in acute pulmonary embolism (PE). It still remains challenging to estimate RV function accurately for the reason of complex structure and geometry. The present study aimed to determine the value of right ventricular outflow tract systolic excursion (RVOT-SE) in evaluating RV function in an animal model with acute PE.
Methods
Thirty-three healthy New Zealand rabbits were randomly assigned to massive thrombus group, sub-massive thrombus group and control group, 11 rabbits per group. The acute PE model was established by intravenous infusion of autologous blood clots. After 1h of thrombus injection, transthoracic echocardiography was performed to assess RV function in all rabbits.
Results
The acute PE model was successfully made in 18 rabbits (massive thrombus group, n = 8; sub-massive thrombus group n = 10). Right/left ventricular end-diastolic diameter (RV/LV) ratio and RV myocardial performance (Tei) index were significantly increased, while RV fractional area change (RVFAC), tricuspid annular plane systolic excursion (TAPSE) and RVOT_SE were reduced in massive thrombus group. The value of RVOT-SE and RVFAC in sub-massive thrombus group decreased significantly compared with control group (P < 0.05). But there was no significant difference in RV/LV, TAPSE and Tei index (P > 0.05). ROC analysis showed that RVOT-SE had high sensitivity (94.4%) and specificity (72.7%) in identifying RV dysfunction in acute PE. The area under the ROC curve (AUC) for combined TAPSE and RVOT-SE was greater than that of TAPSE or RVOT-SE alone (AUC= 0.962, P < 0.01).
Conclusion
RV function in acute PE is significantly decreased, which is closely related to the size of embolus. RVOT_SE is a simple and highly distinctive parameter in identifying RV dysfunction and tends to be superior to conventional parameters in acute PE. The combination of RVOT-SE and TAPSE can further improve the diagnostic accuracy of acute PE.
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