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Objective
Postoperative delirium (POD) is a common postoperative complication that is relevant to poor outcomes. Therefore, it is critical to find effective methods to identify patients with high risk of POD rapidly. Creating a fully automated score based on an automated machine‐learning algorithm may be a method to predict the incidence of POD quickly.
Materials and methods
This is the secondary...
Social emotion analysis of online users has become an important task for mining public opinions, which aims at detecting the readers' emotions evoked by online news articles. In this paper, we focus on building a social emotion analysis system (SEAS) for online news. The system has implemented a text data crawler for mainstream online news websites, the modules of document preprocessing, document...
Application performance monitoring and analyzing system has been widely used in online applications and services, to obtain high performance and reliability. However, existing performance monitoring systems only raise an alarm when certain parameter exceeds its threshold and do not provide further analysis. This paper presents an application performance monitoring and analyzing model based on Bayesian...
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