Back to search

Article

Exploring factors influencing risky behaviors in patients with bipolar disorders using logistic regression model

2022-06-08

Abstract excerpt

<h4>Purpose: </h4> To build a predictive model for predicting risky behaviors of the bipolar disorders (BD) patients in the Guangdong during years 2010–2020; and to explore the specific influencing factors of risky behaviors. Methods Data of BD patients was acquired from the Guangdong Mental Health Center Network Medical System (GDMHS). The data was randomly divided into a primary cohort and a validation cohort....

Topics

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

Identifiers and source

Literature Corpus work
f5fe87ef-9e7d-5a8f-be7b-e83d4f2e376b
DOI
10.21203/rs.3.rs-1697996/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.
Exploring factors influencing risky behaviors in patients with bipolar disorders using logistic regression modelDOI 10.21203/rs.3.rs-1697996/v1
Feasibility study of integrated model of ultra-high risk screening, prediction and prevention (SPP) for mental illnessSemantic proximity
Incidence and characteristics of bipolar disorder in middle-aged adults: A prospective population-based studySemantic proximity
Adverse Psychosocial Trajectory in Bipolar Disorder: Novel Genetic Links to ADHD and AnxietySemantic proximity
Association of healthy lifestyle factors and genetic liability with bipolar disorder: Findings from the UK Biobank.Semantic proximity
A diagnostic model based on bioinformatics and machine learning to differentiate bipolar disorder from schizophrenia and major depressive disorderSemantic proximity
A Linear Analysis Mixed Model Phenotyper (LAMP) for Bipolar Disorder: Evaluating the Impact of Medication, Substance Use Disorders, and Comorbidities on Mood TrajectoriesSemantic proximity
Development and Multi-Site External Validation of a Generalizable Risk Prediction Model for Bipolar DisorderSemantic proximity
The Anxious Bipolar Phenotype: Clinical Complexity and Treatment ResistanceSemantic proximity
Association of prescription data with clinical manifestations and polygenic risk scores in patients with bipolar I disorder: An exploratory study.Semantic proximity
Efficient Prediction of Vitamin B Deficiencies via Machine-learning Using Routine Blood Test Results in Patients With Intense Psychiatric EpisodeSemantic proximity
Pharmacotherapy exposure as a marker of disease complexity in bipolar disorder: Associations with clinical & genetic risk factors.Semantic proximity
Familial traits of bipolar disorder: A systematic review and meta-analysis.Semantic proximity
Select a neighboring publication to make it the new centre.