The human body responds to challenging events or demanding conditions by entering an
escalated psycho-physiological state known as stress. Psychological stress can be captured …

This paper comprehensively examines mental health detection in the Malay language using
natural language processing (NLP) techniques. With global implications, mental health …

This research study explores the potential of machine learning applications in environmental
management to significantly contribute to urban health enhancement. By utilizing machine …

The global pandemic of the coronavirus disease COVID-19 has impacted a variety of
operations. This dilemma is also attributable to the lockdown measures taken by the afflicted …

Mental health detection using Natural Language Processing (NLP) is increasingly crucial
with the vast data accessible from social media platforms. Despite the abundance of …

Suicide is a global public health concern, with the World Health Organization (WHO)
identifying it as the second leading cause of death among individuals aged from 15 to 29 …

Depression, a globally pervasive mental health concern, significantly impacts individuals'
cognitive processes, emotional well-being, and behaviors, giving rise to the alarming trend …

Depression affects a significant number of people, and it has a significant impact not only on
their lives but also on society as a whole. In light of this, we require more advanced methods …

Depression remains a significant global mental health issue, and early detection is crucial
for timely intervention. Traditional methods often struggle to identify subtle indicators of …

Depression is a disease that affects everyone, both young and old. This mental illness not
only affects the surrounding environment but everyone. Depression is characterized by deep …