This paper investigated the use of language models and deep learning techniques for
automating disease prediction from symptoms. Specifically, we explored the use of two …

Efficient traffic flow is crucial for sustainable cities, as it directly impacts energy consumption,
pollution levels, and overall quality of life. The integration of superficial intelligence …

Objective To provide a brief overview of artificial intelligence (AI) application within the field
of eating disorders (EDs) and propose focused solutions for research. Method An overview …

Background Amid the COVID-19 pandemic, there has been a need for rapid social
understanding to inform infodemic management and response. Although social media …

Early diagnosis of mental disorders and intervention can facilitate the prevention of severe
injuries and the improvement of treatment results. This study uses social media and pre …

Background Lyme disease is among the most reported tick-borne diseases worldwide,
making it a major ongoing public health concern. An effective Lyme disease case reporting …

Detecting individuals with autism spectrum disorder (ASD) remains a challenge due to the
resources and specialized professionals needed for accurate diagnosis, particularly for …

In the realm of Earth systems modelling, the forecasting of rainfall holds crucial significance.
The accurate prediction of monthly rainfall in India is paramount due to its pivotal role in …

Background As the COVID-19 pandemic progressed, disinformation, fake news, and
conspiracy theories spread through many parts of society. However, the disinformation …

Sentiment analysis towards short texts is always facing challenges, because short texts only
contain limited semantic characteristics. As a result, this paper constructs a specific large …