Objective To assess the methodological quality of studies on prediction models developed
using machine learning techniques across all medical specialties. Design Systematic …

Recent years have seen the rapid proliferation of clinical prediction models aiming to
support risk stratification and individualized care within psychiatry. Despite growing interest …

The COVID-19 pandemic has caused tremendous loss starting from early this year. This
article aims to investigate the change of anxiety severity and prevalence among non …

Purpose Indonesia is facing an increasing occurrence of non-communicable diseases
(NCDs) every year. We assessed the modifiable, non-modifiable, and physiological risk …

Today, mental health problems become serious issues in Malaysia. In generally, mental
health problems are health issues that effects on how a person feels, thinks, behaves, and …

This paper focuses on providing a comprehensive literature review on the application of
machine learning algorithms in the diagnosis of anxiety disorder, treatment response, and …

Today, mental health problem has become a grave concern in Malaysia. According to the
National Health and Morbidity Survey (NHMS) 2017, one in five people in Malaysia suffers …

Background Depression and post-traumatic stress disorder (PTSD) are among the most
common psychiatric disorders observed in children and adolescents exposed to sexual …

Posttraumatic stress disorder (PTSD) recently becomes one of the most important mental
health concerns. However, no previous study has comprehensively reviewed the application …

Background The emergence of artificial intelligence (AI) tools such as ChatGPT and Bard is
disrupting a broad swathe of fields, including medicine. In pediatric medicine, AI is also …