ArticleBiological psychiatry2018
High Throughput Phenotyping for Dimensional Psychopathology in Electronic Health Records.
Article in Biological psychiatry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 2 of them syntheses that pooled it.
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Who cites it
44 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Natural language processing with machine learning methods to analyze unstructured patient-reported outcomes derived from electronic health records: A systematic review.Artificial intelligence in medicine · 2023Pooled it
- Genome-wide Association Study of Dimensional Psychopathology Using Electronic Health Records.Biological psychiatry · 2018Pooled it
- Reattribution to Mind-Brain Processes and Recovery From Chronic Back Pain: A Secondary Analysis of a Randomized Clinical Trial.JAMA network open · 2023Trial
- Alignment of natural language processing-derived RDoC scores with depression, anhedonia, and anxiety in psychiatric electronic health records.NPP - digital psychiatry and neuroscience · 2026Article
- Measuring Depression Severity With Clinical Global Impression-Severity Scale Scores From Clinical Notes Using Large Language Models: Validation Study.JMIR formative research · 2026Article
- Research Domain Criteria and Deaths by Suicide in the National Violent Death Reporting System.JAMA network open · 2026Article
- Article
- The interaction network and potential clinical effectiveness of dimensional psychopathology phenotyping based on EMR: a Bayesian network approach.BMC psychiatry · 2025Article
- Dimensional Measures of Psychopathology in Children and Adolescents Using Large Language Models.Biological psychiatry · 2024Article
- Characterizing research domain criteria symptoms among psychiatric inpatients using large language models.Journal of mood and anxiety disorders · 2024Article
- Case Identification of Depression in Inpatient Electronic Medical Records: Scoping Review.JMIR medical informatics · 2024Article
- Comparative estimation of the effects of antihypertensive medications on schizophrenia occurrence: a multinational observational cohort study.BMC psychiatry · 2024Observational
- Multi-polygenic scores in psychiatry: From disorder specific to transdiagnostic perspectives.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics · 2024Article
- Association between psychiatric symptoms with multiple peripheral blood sample test: a 10-year retrospective study.Frontiers in psychiatry · 2024Article
- Recommended practices and ethical considerations for natural language processing-assisted observational research: A scoping review.Clinical and translational science · 2023Article
- Case-control study of neuropsychiatric symptoms in electronic health records following COVID-19 hospitalization in 2 academic health systems.Molecular psychiatry · 2022Article
- Efficiently identifying individuals at high risk for treatment resistance in major depressive disorder using electronic health records.Journal of affective disorders · 2022Article
- Research Domain Criteria (RDoC): Progress and Potential.Current directions in psychological science · 2022Article
- Predictive structured-unstructured interactions in EHR models: A case study of suicide prediction.NPJ digital medicine · 2022Article
- Temporally informed random forests for suicide risk prediction.Journal of the American Medical Informatics Association : JAMIA · 2021Article
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
backgroundRelying on diagnostic categories of neuropsychiatric illness obscures the complexity of these disorders. Capturing multiple dimensional measures of neuropathology could facilitate the clinical and neurobiological investigation of cognitive and behavioral phenotypes.
methodsWe developed a natural language processing-based approach to extract five symptom dimensions, based on the National Institute of Mental Health Research Domain Criteria definitions, from narrative clinical notes. Estimates of Research Domain Criteria loading were derived from a cohort of 3619 individuals with 4623 hospital admissions. We applied this tool to a large corpus of psychiatric inpatient admission and discharge notes (2010-2015), and using the same cohort we examined face validity, predictive validity, and convergent validity with gold standard annotations.
resultsIn mixed-effect models adjusted for sociodemographic and clinical features, greater negative and positive symptom domains were associated with a shorter length of stay (β = -.88, p = .001 and β = -1.22, p < .001, respectively), while greater social and arousal domain scores were associated with a longer length of stay (β = .93, p < .001 and β = .81, p = .007, respectively). In fully adjusted Cox regression models, a greater positive domain score at discharge was also associated with a significant increase in readmission risk (hazard ratio = 1.22, p < .001). Positive and negative valence domains were correlated with expert annotation (by analysis of variance [df = 3], R
conclusionsThis shows that natural language processing can be used to efficiently and transparently score clinical notes in terms of cognitive and psychopathologic domains.
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