Background Machine learning applications in health care have increased considerably in
the recent past, and this review focuses on an important application in psychiatry related to …

Bipolar depression is treated wrongly as unipolar depression, on average, for 8 years. It is
shown that this mismedication affects the occurrence of a manic episode and aggravates the …

There is strong clinical evidence from the current literature that certain psychological and
physiological indicators are closely related to mood changes. However, patients with mental …

P3 is a petri dish brimming with questions, not answers, but suggestions, to explore. The aim
is not to teach or pontificate but may swing the proverbial pendulum between science and …

Mood disorders have been a relevant topic for the last decade. According to the World
Health Organization, the cost of mood disorders and anxiety in the EU is about€ 170 billion …

In this paper, we aimed at reviewing present literature on employing nonlinear analysis in
combination with machine learning methods, in depression detection or prediction task. We …

As one of the most complicated and recurrent depressive disorders, bipolar depression
holds the highest morbidity and high mortality risk, but effective early detection and …

The advent of artificial intelligence (AI) and machine learning (ML) in particular, in medicine,
holds many promises. Although the acceptance of any innovation in medicine is chronically …

Current diagnostic practice in psychiatry is not relying on objective biophysical evidence.
Recent pandemic emphasized the need to address the rising number of mood disorders (in …

Según estadísticas de la World Health Organization (WHO), de todos los problemas de
salud, los trastornos mentales representan el 12.5%, una cifra superior a la del cáncer …