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Predicting diagnostic conversion from major depressive disorder to bipolar disorder: an EHR based study from Colombia
Susan K Service1, Juan De La Hoz1, Ana M Diaz-Zuluaga1
1Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, USA.
Medrxiv : the Preprint Server for Health Sciences
|October 24, 2023
Summary
Predicting Bipolar Disorder (BD) conversion from Major Depressive Disorder (MDD) is crucial. EHR data analysis identified key risk factors like initial episode severity and suicidal ideation, enabling earlier BD diagnosis and improved patient outcomes.
Area of Science:
- Psychiatry and Mental Health
- Health Informatics
- Clinical Epidemiology
Background:
- Bipolar Disorder (BD) is a chronic mental health condition often initially presenting as Major Depressive Disorder (MDD), leading to diagnostic delays.
- Early identification of individuals with MDD who are at high risk of converting to BD is critical for timely intervention and improved prognosis.
Conclusions:
- EHR data analysis, including NLP, is a valid and powerful tool for predicting BD conversion from MDD.
- This study confirms known risk factors and identifies novel ones, supporting earlier diagnosis and targeted interventions for Bipolar Disorder.
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