Introduction Despite the high prevalence of major depressive disorder (MDD) among the
elderly population, the rate of treatment is low due to stigmas and barriers to medical access …

Depression in the elderly is an important social issue considering the population aging of
the world. In particular, elderly living alone who has narrowed social relationship due to …

Objectives Our aim was to explore the possibility of using machine learning (ML) in
predicting the onset and trajectories of depressive symptom in home-based older adults …

Background Early identification of the middle-aged and elderly people with high risk of
developing depression disorder in the future and the full characterization of the associated …

Maintaining good mental health such as the prevention of severe depressive symptoms is
critical for physical health and well-being in older adulthood. However, depression in …

Background Depression is highly prevalent and considered as the most common psychiatric
disorder in home-based elderly, while study on forecasting depression risk in the elderly is …

Background Detecting potential depression and identifying the critical predictors of
depression among older adults with chronic diseases are essential for timely intervention …

Depression and anxiety are the leading causes of health loss globally, and the Covid-19
pandemic has significantly exacerbated the effect of these disorders. There is a widening …

Background Early detection of potential depression among elderly people is conducive for
timely preventive intervention and clinical care to improve quality of life. Therefore …

Modern sensor technology is increasingly used in older adults to not only provide additional
safety but also to monitor health status, often by means of sensor derived digital measures or …