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

2019-05-19 19:37:22 | BioPortfolio

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.

Study Design

Conditions

Bipolar Disorder

Location

Shanghai Mental Health Center
Shanghai
Shanghai
China
200030

Status

Completed

Source

Shanghai Mental Health Center

Results (where available)

View Results

Links

Published on BioPortfolio: 2019-05-19T19:37:22-0400

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Medical and Biotech [MESH] Definitions

A major affective disorder marked by severe mood swings (manic or major depressive episodes) and a tendency to remission and recurrence.

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An element in the alkali metals family. It has the atomic symbol Li, atomic number 3, and atomic weight 6.94. Salts of lithium are used in treating BIPOLAR DISORDER.

INTERNEURONS of the vertebrate RETINA containing two processes. They receive inputs from the RETINAL PHOTORECEPTOR CELLS and send outputs to the RETINAL GANGLION CELLS. The bipolar cells also make lateral connections in the retina with the RETINAL HORIZONTAL CELLS and with the AMACRINE CELLS.

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