NCT03949218

Bipolar Disorder and Oxidative Stress Injury Mechanism - Clinical Big Data Analysis Based on Machine Learning

• Status: Completed
• Phase: —
• Study type: Observational
• Enrollment: 3,702 (actual)
• Sponsor: Shanghai Mental Health Center · Academic / Other
• Sex: All
• Age: —
• Healthy volunteers: —

Summary

This study is a single-center, retrospective, cross-sectional study. We plan to work with our network information center to analysis the related indicators of oxidative stress injury in patients with bipolar disorder based on oxidative stress data. During the study, machine learning was used as a data analysis method to screen out the biomarker risk factors with sensitivity and specificity for early recognition of bipolar disorder from major depression disorder with oxidative stress injury as the core. And then build up effective clinical predictive models for early identification of bipolar disorder, which can predict the early quantitative probabilistic of the onset of bipolar disorder.

Conditions

• Bipolar Disorder

Timeline

• Start date: 2018-11-20
• Primary completion: 2018-11-20
• Completion: 2018-11-20
• First posted: 2019-05-14
• Last updated: 2019-05-14

Locations

1 site across 1 country: China