Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

The interaction network and potential clinical effectiveness of dimensional psychopathology phenotyping based on EMR: a Bayesian network approach.

BMC psychiatry - 28 Jan 2025

Qiu Jianqing, Zhu Ting, Qin Ke, Zhang Wei

Abstract excerpt

The current DSM-oriented diagnostic paradigm has introduced the issue of heterogeneity, as it fails to account for the identification of the neurological processes underlying mental illnesses, which affects the precision of treatment. The Research Domain Criteria (RDoC) framework serves as a recognized approach to addressing this heterogeneity, and several assessment and translation techniques have been proposed....

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Bayes Theorem
Share to Bipolar Disorder
Share to Diagnostic and Statistical Manual of Mental Disorders

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Electronic Health Records

Share to Major Depressive Disorder

Share to Natural Language Processing

Share to Schizophrenia

Share to Unsupervised Machine Learning

Source

Open in PubMed Open full text

Identifiers

PMID: 39875818
DOI: 10.1186/s12888-025-06510-2
PMCID: PMC11776203

Genes

CS

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 8 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

The interaction network and potential clinical effectiveness of dimensional psychopathology phenotyping based on EMR: a Bayesian network approach.PMID 39875818Read ↗

Protocol for an Observational Prospective Study Linking RDoC-Based Phenotypes with Clinical and Care-Related Outcomes: The VeRDoC – StudySemantic proximity Read ↗

Pathway and network embedding methods for prioritizing psychiatric drugsSemantic proximity Read ↗

Nomothethic Network Psychiatry: A Bottom-Up Approach to Build Data-Driven Disease Models Based on Risk-Resilience, Adverse Outcome Pathways, and Phenome Scores, and to Discover New Biosignature-Based ClassificationsSemantic proximity Read ↗

Feasibility study of integrated model of ultra-high risk screening, prediction and prevention (SPP) for mental illnessSemantic proximity Read ↗

High Throughput Phenotyping for Dimensional Psychopathology in Electronic Health Records.Semantic proximity Read ↗

Use of a Bayesian Network Model to predict psychiatric illness in individuals with 'at risk mental states' from a general population cohort.Semantic proximity Read ↗

Classification of patients with lithium-treated bipolar disorder based on gene expression: Dirichlet Bayesian network modelSemantic proximity Read ↗

The influence of genes on "positive valence systems" constructs: A systematic review.Semantic proximity Read ↗

When Randomness Becomes Rigid: Dynamic Connectivity Entropy and Symptom-Linked Network Dysfunction in SchizophreniaSemantic proximity Read ↗

Machine learning improved classification of psychoses using clinical and biological stratification: Update from the bipolar-schizophrenia network for intermediate phenotypes (B-SNIP).Semantic proximity Read ↗

Bayesian Networks with Interpretable Summary Indexes for Modeling Clinicians’ Decision-Making in Treatment Recommendation for Mental DisordersSemantic proximity Read ↗

Towards A New Model and Classification of Mood Disorders based on Risk Resilience, Neuro-Affective Toxicity, Staging, and Phenome Features Using the Nomothetic Network Psychiatry ApproachSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.