Risk Prediction Model for Complex Disorders

Web-based calculators from the Laboratory of Genetic Psychiatric Epidemiology and Biostatistics, National Cheng Kung University

This website serves as a web-based platform for predicting complex diseases. We employed various statistical methods to identify key predictors of these disorders. Traditional regression techniques and machine learning algorithms were utilized to develop predictive models, while discriminant analysis was used to assess the performance of these models in differentiating between study groups. This user-friendly web application assists researchers and clinicians in the early diagnosis of complex disorders and the development of tailored personalized treatment strategies.