首页|Third Affiliated Hospital of Wenzhou Medical University Reports Findings in Bipo lar Disorders (Task-state skin potential abnormalities can distinguish major dep ressive disorder and bipolar depression from healthy controls)
Third Affiliated Hospital of Wenzhou Medical University Reports Findings in Bipo lar Disorders (Task-state skin potential abnormalities can distinguish major dep ressive disorder and bipolar depression from healthy controls)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Mental Health Diseases and Conditions - Bipolar Disorders is the subject of a report. According to new s reporting originating in Wenzhou, People's Republic of China, by NewsRx journa lists, research stated, "Early detection of bipolar depression (BPD) and major d epressive disorder (MDD) has been challenging due to the lack of reliable and ea sily measurable biological markers. This study aimed to investigate the accuracy of discriminating patients with mood disorders from healthy controls based on t ask state skin potential characteristics and their correlation with individual i ndicators of oxidative stress." The news reporters obtained a quote from the research from the Third Affiliated Hospital of Wenzhou Medical University, "A total of 77 patients with BPD, 53 pat ients with MDD, and 79 healthy controls were recruited. A custom-made device, pr eviously shown to be sufficiently accurate, was used to collect skin potential d ata during six emotion-inducing tasks involving video, pictorial, or textual sti muli. Blood indicators reflecting individual levels of oxidative stress were col lected. A discriminant model based on the support vector machine (SVM) algorithm was constructed for discriminant analysis. MDD and BPD patients were found to h ave abnormal skin potential characteristics on most tasks. The accuracy of the S VM model built with SP features to discriminate MDD patients from healthy contro ls was 78% (sensitivity 78%, specificity 82% ). The SVM model gave an accuracy of 59% (sensitivity 59% , specificity 79%) in classifying BPD patients, MDD patients, and h ealthy controls into three groups. Significant correlations were also found betw een oxidative stress indicators in the blood of patients and certain SP features ."
WenzhouPeople's Republic of ChinaAsi aBiological FactorsBiomarkersBipolar DisordersDepressionDiagnostics an d ScreeningHealth and MedicineMachine LearningMajor Depressive DisorderM anic-Depressive IllnessMental HealthMental Health Diseases and ConditionsP sychiatrySupport Vector Machines
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