Approved Research

Deep Learning Based Analysis of Digital phenotypes and Response evaluation for Bipolar disorder

Lay summary

Identify digital markers capable of discriminating bipolar disorder and predicting response to long-term treatment. Develop a deep learning-based analysis approach for the detection of bipolar disorder. Explore novel, diverse biomarkers, investigate newly inducted biomarkers. Formulate algorithm for computing the effectiveness of individual biomarkers using different feature selection methods.