Disasters cause swee** damage, hardship, and loss of life. In this article, we first consider
the dominant psychological approach to disasters and its narrow focus on psychopathology …

Stress-related psychopathology is on the rise, and there is a pressing need for improved
prevention strategies. Positive appraisal style, the tendency to appraise potentially …

Abstract Machine learning is increasingly used in mental health research and has the
potential to advance our understanding of how to characterize, predict, and treat mental …

Natural hazards have the potential to cause catastrophic damage and significant
socioeconomic loss. The actual damage and loss observed in the recent decades has …

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

Deep learning transformer-based models using longitudinal electronic health records
(EHRs) have shown a great success in prediction of clinical diseases or outcomes …

Given the rapid proliferation of trajectory-based approaches to study clinical consequences
to stress and potentially traumatic events (PTEs), there is a need to evaluate emerging …

Fear memory is the best-studied form of memory. It was thoroughly investigated in the past
60 years mostly using two classical conditioning procedures (contextual fear conditioning …

Schizophrenia is a severe neuropsychiatric disorder with persistence of symptoms
throughout adult life in most of the affected patients. This unfavorable course is associated …

The well-replicated observation that many people maintain mental health despite exposure
to severe psychological or physical adversity has ignited interest in the mechanisms that …