AI Medical Compendium Topic:
China

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Impact of the transection plan on postoperative pancreatic fistulas occurring after robot-assisted distal pancreatectomy for nonmalignant pancreatic neoplasms.

Surgical endoscopy
OBJECTIVES: Postoperative pancreatic fistula (POPF) is the main complication of distal pancreatectomy (DP) and affects the prognosis of patients. The impact of several clinical factors mentioned in recent studies on POPF remains controversial. This s...

Application of Deep Learning Model in Building Energy Consumption Prediction.

Computational intelligence and neuroscience
In order to achieve China's energy conservation and emission reduction goal of peaking carbon dioxide emissions around 2030, it is of great significance. An important means of building energy conservation and emission reduction is the fine management...

Water Quality Prediction Based on Multi-Task Learning.

International journal of environmental research and public health
Water pollution seriously endangers people's lives and restricts the sustainable development of the economy. Water quality prediction is essential for early warning and prevention of water pollution. However, the nonlinear characteristics of water qu...

Analysis of Chinese Machine Translation Training Based on Deep Learning Technology.

Computational intelligence and neuroscience
With the advent of the information age, people can establish good communication through Internet technology. Mechanical translation has become a key means to solve people's communication problems. However, there are still obstacles to communication b...

The Prediction of Enterprise Stock Change Trend by Deep Neural Network Model.

Computational intelligence and neuroscience
This study aims to accurately predict the changing trend of stocks in stock trading so that company investors can obtain higher returns. In building a financial forecasting model, historical data and learned parameters are used to predict future stoc...

Economic Transformation and Security Analysis of RMB Integration Based on CNN.

Computational intelligence and neuroscience
Due to the productivity shocks, there exist inherently systemic biases when using purchasing power parity as the equilibrium real exchange rate measure standard. In this paper, based on the characteristic of Chinese economic transformation, consideri...

The Customs Clearance Efficiency of Guangdong-Hong Kong Land Transportation Based on BP Neural Network Algorithm.

Computational intelligence and neuroscience
With the continuous development of the economy, the trade volume of customs clearance by land transportation between Guangdong and Hong Kong is increasing, but there are many problems in customs clearance by land transportation between Guangdong and ...

A multi-layer soft lattice based model for Chinese clinical named entity recognition.

BMC medical informatics and decision making
OBJECTIVE: Named entity recognition (NER) is a key and fundamental part of many medical and clinical tasks, including the establishment of a medical knowledge graph, decision-making support, and question answering systems. When extracting entities fr...

A Continuous Deep Learning System Study of Tennis Player Health Information and Professional Input.

Computational intelligence and neuroscience
The health status of elite tennis players and the results of tennis matches are positively proportional under normal circumstances. The physical and psychological functions of tennis players directly affect the athletic ability of tennis players. Wit...

Risk Analysis of A-H Share Connect Market Based on Deep Learning and BP Neural Network.

Computational intelligence and neuroscience
China's Shanghai-Hong Kong Stock Connect and Shenzhen-Hong Kong Stock Connect programs make it possible for investors to trade stocks within specified limits through the two stock exchanges. The A-H share exchange stock market is crucial to the openi...