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Our studies utilized various statistical approaches to identify important predictors for complex disorders. Traditional regression methods and machine learning algorithms were applied to develop predictive models for these disorders, while discriminant analysis was employed to evaluate model performance in distinguishing between study groups. This user-friendly web application assists researchers and clinicians in the early identification of complex disorders and the development of tailored intervention strategies.

Sheng-Hsiang Lin, Ph.D.
Laboratory of Genetic Psychiatric Epidemiology and Biostatistics
Institute of Clinical Medicine
National Cheng Kung University, Tainan, Taiwan
[email protected]