Prediction of risk for panic disorder formation
نویسندگان
چکیده
منابع مشابه
simulation and experimental studies for prediction mineral scale formation in oil field during mixing of injection and formation water
abstract: mineral scaling in oil and gas production equipment is one of the most important problem that occurs while water injection and it has been recognized to be a major operational problem. the incompatibility between injected and formation waters may result in inorganic scale precipitation in the equipment and reservoir and then reduction of oil production rate and water injection rate. ...
Panic Disorder in Children
Background: One of the psychological disorders that rooted in anxiety is the panic disorder. There are a lot of studies about this disorder in adults, while fewer studies are assigned to panic disorder in children. This study reviews the available articles and tries to show the different parts of the disorder. Also, panic disorder in children is considered in terms of content, signs and treatme...
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PURPOSE Epidemiological studies have identified a trend in the development of depressive and anxiety disorders following a diagnosis of sleep apnea. The relationship between sleep apnea and subsequent panic disorder, however, remains unclear. METHODS Using a nationwide database, the Taiwan National Health Insurance Research Database, patients with sleep apnea and age-, sex-, income-, and urba...
متن کاملAssociation of rapid mood switching with panic disorder and familial panic risk in familial bipolar disorder.
OBJECTIVE Comorbid bipolar and panic disorders aggregate in families. A phenotypic trait shared by both disorders is the sudden shift in affect observed in panic attacks and some rapid cycling states. The authors investigated whether comorbidity of bipolar disorder and panic disorder is associated with rapid mood switching in families with a high rate of bipolar disorder. METHOD Six hundred s...
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This study explores a semi-supervised classification approach using random forest as a base classifier to classify the low-back disorders (LBDs) risk associated with the industrial jobs. Semi-supervised classification approach uses unlabeled data together with the small number of labelled data to create a better classifier. The results obtained by the proposed approach are compared with those o...
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ژورنال
عنوان ژورنال: Современные проблемы науки и образования (Modern Problems of Science and Education)
سال: 2018
ISSN: 2070-7428
DOI: 10.17513/spno.27877