Suicide is a major global public health concern, and the application of artificial intelligence
(AI) methods, such as natural language processing (NLP), machine learning (ML), and deep …

Nurses are essential in managing the healthcare of older adults, particularly those over 65,
who often face multiple chronic conditions. This group requires comprehensive physical …

Depressive symptoms identification on social media aims to identify posts from social media
expressing symptoms of depression. This can be beneficial for developing mental health …

The World Health Organisation (WHO) revealed approximately 280 million people in the
world suffer from depression. Yet, existing studies on early-stage depression detection using …

The US mobile advertising market generated $175 billion in 2023, emphasizing its
significant role in the marketing industry. This paper presents two studies that contribute to …

During the COVID-19 pandemic, people experienced major lifestyle changes including
enforced isolation which resulted in an increase in suicidal ideation. In the face of isolation …

Depression is a prevalent and severe mental disorder that often goes undetected and
untreated, particularly in its early stages. However, social media has emerged as a valuable …

Identifying the emotional causes of mental illnesses is key to effective intervention. Existing
emotion-cause analysis approaches can effectively detect simple emotion-cause …

This study introduces a novel pruning approach based on explainable graph convolutional
networks, strategically amalgamating pruning and quantisation, aimed to tackle the …

Social media posts provide valuable insight into the narrative of users and their intentions,
including providing an opportunity to automatically model whether a social media user is …