AI Medical Compendium Topic:
China

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Exploring the Chinese Public's Perception of Omicron Variants on Social Media: LDA-Based Topic Modeling and Sentiment Analysis.

International journal of environmental research and public health
The COVID-19 pandemic caused by SARS-CoV-2 is still raging. Similar to other RNA viruses, SARS-COV-2 is constantly mutating, which leads to the production of many infectious and lethal strains. For instance, the omicron variant detected in November 2...

Short-Term Drift Prediction of Multi-Functional Buoys in Inland Rivers Based on Deep Learning.

Sensors (Basel, Switzerland)
The multi-functional buoy is an important facility for assisting the navigation of inland waterway ships. Therefore, real-time tracking of its position is an essential process to ensure the safety of ship navigation. Aiming at the problem of the low ...

Modeling and Estimation of CO Emissions in China Based on Artificial Intelligence.

Computational intelligence and neuroscience
Since China's reform and opening up, the social economy has achieved rapid development, followed by a sharp increase in carbon dioxide (CO) emissions. Therefore, at the 75th United Nations General Assembly, China proposed to achieve carbon peaking by...

SiBERT: A Siamese-based BERT network for Chinese medical entities alignment.

Methods (San Diego, Calif.)
Entity alignment aims at associating semantically similar entities in knowledge graphs from different sources. It is widely used in the integration and construction of professional medical knowledge. The existing deep learning methods lack term-level...

Art Painting Image Classification Based on Neural Network.

Computational intelligence and neuroscience
Neural network (NN) is among the most important and vital form of artificial intelligence which are utilized for the classification of data, information, or images. Moreover, NN has been extensively utilized in various research domains throughout the...

Application of Three-Stage DEA Model Combined with BP Neural Network in Microfinancial Efficiency Evaluation.

Computational intelligence and neuroscience
The research performed here intends to explore the future development model of new rural financial institutions and determine the financial efficiency goals, thereby providing a huge stage for the development of new rural financial institutions. It a...

Identification and Optimization of Contributing Factors for Precocious Puberty by Machine/Deep Learning Methods in Chinese Girls.

Frontiers in endocrinology
BACKGROUND AND OBJECTIVES: As the worldwide secular trends are toward earlier puberty, identification of contributing factors for precocious puberty is critical. We aimed to identify and optimize contributing factors responsible for onset of precocio...

Management and Analysis of Sports Health Level of the Elderly Based on Deep Learning.

Computational intelligence and neuroscience
With the accelerating rate of population aging in China, the health of the elderly has received more and more attention and has become one of the most important issues in the elderly care industry. Because of insufficient research on the personal hea...

Evaluating the Performance of Inclusive Growth Based on the BP Neural Network and Machine Learning Approach.

Computational intelligence and neuroscience
In this paper, we use the panel data of 281 cities in China from 2005 to 2020 for capturing the factors driving urban inclusive growth (IG). In doing this, we employ the BP neural network algorithm combined with the DEA model to measure the urban inc...

Exploring the Development of Chinese Digital Resources under Lightweight Deep Learning.

Computational intelligence and neuroscience
From 2019, countries worldwide have been negatively affected by the corona virus disease 2019 (COVID-19) in all aspects of social life. The high-tech digital industry represented by emerging digital technologies is still vigorous, and correspondingly...