Yang Liu

• Doctor of Business Administration
• Associate Professor at Wuhan University

Objective The COVID-19 pandemic has placed unprecedented strain on healthcare systems, mainly due to the highly variable and challenging to predict patient length of stay (LOS). This study aims to identify the primary factors impacting LOS for patients before and during the COVID-19 pandemic. Methods This study collected electronic medical record...

Objective This paper aims to understand vaccine hesitancy in the post-epidemic era by analyzing texts related to vaccine reviews and public attitudes toward three prominent vaccine brands: Sinovac, AstraZeneca, and Pfizer, and exploring the relationship of vaccine hesitancy with the prevalence of epidemics in different regions. Methods We collecte...

Introduction Mental health issues bring a heavy burden to individuals and societies around the world. Recently, the large language model ChatGPT has demonstrated potential in depression intervention. The primary objective of this study was to ascertain the viability of ChatGPT as a tool for aiding counselors in their interactions with patients whil...

This research explores how user-generated content (UGC) influences the performance of studios. Our dataset included both structured and unstructured UGC, analyzed through a hybrid of statistical techniques and machine learning algorithms. The findings revealed a positive relationship between UGC and both box office revenues and stock market perform...

Depression detection on social media aims to analyze users’ tendency to depression and provide help for the early detection of depressed users. However, most previous research focusses on diagnoses using the binary classification of the English language. Relevant studies focusing on Chinese social media are scarce, although the Chinese language has...

Consumer perceptions of helpfulness remain an open question due to the lack of semantic and spatial features of review content. This paper aims to explore three aspects of the contents of a review: time, rating, and location, to assess the helpfulness of hotel reviews. A multi-view graph convolutional network (MVGCN) and attention mechanisms that c...

Depression can significantly impact people’s mental health, and recent research shows that social media can provide decision-making support for health-care professionals and serve as supplementary information for understanding patients’ health status. Deep learning models are also able to assess an individual’s likelihood of experiencing depression...

Credit scoring models based on machine learning often need to work on accuracy and interpretability in practical applications. Original KCDWU has a more prominent adaptive property but ignores intra‐class and inter‐class distances in the clustering process, resulting in the possibility of inaccurate identification of class features and cluster stru...

Objective: The goal of this study is to use summary generation and topic modeling to identify factors contributing to vaccine attitudes for three different vaccine brands, with the aim of generalizing these factors across different regions. Methods: A total of 5562 tweets about three vaccine brands (Sinovac, AstraZeneca, and Pfizer) were collect...

Depression can significantly impact people’s mental health, and recent research shows that social media can provide decision-making support for healthcare professionals and serve as supplementary information for understanding patients’ health status. Deep learning models are also able to assess an individual’s likelihood of experiencing depression....

The financial status of high-tech startups directly reflects a country’s economic vitality. Hence, the financial distress of high-tech startups will hinder a country's economic growth. In this study, we extract financial data of seven countries from the VICO 2.0 dataset; the sample includes high-tech startups (labeled as acquired, non-acquired, fai...

Bone infection is one of the common complications of orthopedic surgery. After bone trauma occurs in the human body, the infection of Staphylococcus aureus and Gram-negative bacteria into the fracture area can lead to double infection of the soft tissue and bone tissue at the fracture site, leading to a variety of complications, mostly in the lower...

While existing studies have established the relationship between electronic word-of-mouth (eWOM) and studio performance , limited research has been conducted to demonstrate how the attention-based model applies to the motion picture industry. In this study, examining a review corpus of seven Hollywood studios, we proved that deep learning with the...

While existing studies have established the relationship between electronic word-of-mouth (eWOM) and studio performance , limited research has been conducted to demonstrate how the attention-based model applies to the motion picture industry. In this study, examining a review corpus of seven Hollywood studios, we proved that deep learning with the...

An increasing number of the renowned company’s investors are turning attention to stock prediction in the search for new efcient ways of hypothesizing about markets through the application of behavioral fnance. Accordingly, research on stock prediction is becoming a popular direction in academia and industry. In this study, the goal is to establish...

As the technology applied to economy develops, more and more investors are paying attention to stock prediction. Therefore, research on stock prediction is becoming a hot area. In this paper, we propose to incorporate a joint model using the TransE model for representation learning and a Convolutional Neural Network (CNN), which extracts features f...