background and aims: depression disorder is one of the most common diseases, but the diagnosis is widely complicated and controversial because of interventions, overlapping and confusing nature of the disease. so, keeping previous patients’ profile seems effective for diagnosis and treatment of present patients. use of this memory is latent in synthetic neuro-fuzzy algorithm. present article in...

objective: there are various attempts to confirm variables that could predict postpartum depression in advance. this study determined antenatal risk factors for postpartum depression in women at risk of developing this disorder. methods: a prospective cohort study was conducted with 2279 eligible women who attended at mazandaran province’ primary health centers from 32-42 weeks of pregnancy to ...

background: ischemic heart disease (ihd) is the main cause of morbidity and mortality worldwide, and a considerable part of these patients attend to emergency departments, which increases the burden to these busy departments. the aim of this study was to develop a prediction model enabling prediction of all cause emergency department (ed) visits in patients with documented coronary stenosis in ...

aim and background: it appears that depressed people have low self-compassion and forgiveness due to having negative attitudes. in order to test this hypothesis, the current study investigated the role of self-compassion and forgiveness in the prediction of depression severity among university students. methods and materials: in a correlational study during 2010-11, 136 individuals were randoml...

Background and aims: Depression disorder is one of the most common diseases, but the diagnosis is widely complicated and controversial because of interventions, overlapping and confusing nature of the disease. So, keeping previous patients’ profile seems effective for diagnosis and treatment of present patients. Use of this memory is latent in synthetic neuro-fuzzy algorithm. P...

Background: Physicians’ and nurses’ experience of the COVID-19 pandemic and its physical and psychological consequences can be associated with changes in biological and hormonal levels, experienced as fatigue, restlessness, disruptions in one's mood, and sleep quality. This study examined the role of depression and death anxiety in contracting COVID-19 among healthcare staff. Methods: The stat...

BACKGROUND AND PURPOSE The timely detection of post-stroke depression is complicated by a decreasing length of hospital stay. Therefore, the Post-stroke Depression Prediction Scale was developed and validated. The Post-stroke Depression Prediction Scale is a clinical prediction model for the early identification of stroke patients at increased risk for post-stroke depression. METHODS The stud...

The dopamine system has been linked to anhedonia in depression and both the positive and negative symptoms of schizophrenia, but it remains unclear how dopamine dysfunction could mechanistically relate to observed symptoms. There is considerable evidence that phasic dopamine signals encode prediction error (differences between expected and actual outcomes), with reinforcement learning theories ...