首页|University of Health Sciences Reports Findings in Bipolar Disorders (The Contrib ution of Explainable Machine Learning Algorithms Using ROI-based Brain Surface M orphology Parameters in Distinguishing Early-onset Schizophrenia From Bipolar .. .)
University of Health Sciences Reports Findings in Bipolar Disorders (The Contrib ution of Explainable Machine Learning Algorithms Using ROI-based Brain Surface M orphology Parameters in Distinguishing Early-onset Schizophrenia From Bipolar .. .)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Mental Health Diseases and Condit ions - Bipolar Disorders is the subject of a report. According to news reporting originating from Istanbul, Turkey, by NewsRx correspondents, research stated, “ To differentiate early-onset schizophrenia (EOS) from early-onset bipolar disord er (EBD) using surface-based morphometry measurements and brain volumes using ma chine learning (ML) algorithms. High-resolution T-weighted images were obtained to measure cortical thickness (CT), gyrification, gyrification index (GI), sulca l depth (SD), fractal dimension (FD), and brain volumes.”
IstanbulTurkeyEurasiaAlgorithmsBipolar DisordersCyborgsEmerging TechnologiesHealth and MedicineMachine L earningManic-Depressive IllnessMental Health Diseases and ConditionsPsychi atrySchizophrenia
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