Back to search

Article

A Novel Deep Learning Approach for Bipolar Disorder Classification via Quantitative EEG

2024-08-29

Abstract excerpt

Reliable diagnosis and differentiation of bipolar disorder pose significant challenges due to symptom overlap with other psychiatric disorders. Inaccurate or delayed diagnosis can severely impact patient lifestyle and health, underscoring the need for precise diagnostic methods. A reliable diagnosis is crucial for effective treatment and interventions, helping patients return to routine life and offering economic...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
769a709f-f3ae-5f0d-afaf-7fd7938a3f93
DOI
10.22541/au.172489715.51548126/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
A Novel Deep Learning Approach for Bipolar Disorder Classification via Quantitative EEGDOI 10.22541/au.172489715.51548126/v1
Select a neighboring publication to make it the new centre.