ArticlePsychological medicine2020
Characterizing DSM-5 and ICD-11 personality disorder features in psychiatric inpatients at scale using electronic health records.
Article in Psychological medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.
- Machine Learning and Natural Language Processing in Mental Health: Systematic Review.Journal of medical Internet research · 2021Pooled it
- The Future of Artificial Intelligence in Mental Health Nursing Practice: An Integrative Review.International journal of mental health nursing · 2025Review
- Characterizing research domain criteria symptoms among psychiatric inpatients using large language models.Journal of mood and anxiety disorders · 2024Article
- Practical implications of ICD-11 personality disorder classifications.BMC psychiatry · 2024Review
- Clinical Implications of ICD-11 for Diagnosing and Treating Personality Disorders.Current psychiatry reports · 2022Review
- Experiences of Siblings of Children With Neurodevelopmental Disorders: Comparing Qualitative Analysis and Machine Learning to Study Narratives.Frontiers in psychiatry · 2022Article
- Patient Triage by Topic Modeling of Referral Letters: Feasibility Study.JMIR medical informatics · 2020Article
- The 2019 National Natural language processing (NLP) Clinical Challenges (n2c2)/Open Health NLP (OHNLP) shared task on clinical concept normalization for clinical records.Journal of the American Medical Informatics Association : JAMIA · 2020Article
- Association between DSM-5 and ICD-11 personality dimensional traits in a general medical cohort and readmission and mortality.General hospital psychiatryArticle
- Dimensional clinical phenotyping usingAlzheimer's & dementia (Amsterdam, Netherlands)Article
- Mapping of Transdiagnostic Neuropsychiatric Phenotypes Across Patients in Two General Hospitals.Journal of the Academy of Consultation-Liaison PsychiatryArticle
- Distribution of agitation and related symptoms among hospitalized patients using a scalable natural language processing method.General hospital psychiatryArticle
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
Abstract
backgroundInvestigation of personality traits and pathology in large, generalizable clinical cohorts has been hindered by inconsistent assessment and failure to consider a range of personality disorders (PDs) simultaneously.
methodsWe applied natural language processing (NLP) of electronic health record notes to characterize a psychiatric inpatient cohort. A set of terms reflecting personality trait domains were derived, expanded, and then refined based on expert consensus. Latent Dirichlet allocation was used to score notes to estimate the extent to which any given note reflected PD topics. Regression models were used to examine the relationship of these estimates with sociodemographic features and length of stay.
resultsAmong 3623 patients with 4702 admissions, being male, non-white, having a low burden of medical comorbidity, being admitted through the emergency department, and having public insurance were independently associated with greater levels of disinhibition, detachment, and psychoticism. Being female, white, and having private insurance were independently associated with greater levels of negative affectivity. The presence of disinhibition, psychoticism, and negative affectivity were each significantly associated with a longer stay, while detachment was associated with a shorter stay.
conclusionsPersonality features can be systematically and scalably measured using NLP in the inpatient setting, and some of these features associate with length of stay. Developing treatment strategies for patients scoring high in certain personality dimensions may facilitate more efficient, targeted interventions, and may help reduce the impact of personality features on mental health service utilization.
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