Back to search

Article

Acute Suicidal Ideation in Context: Highlighting Sentiment-based Markers through the Diary Entries of a Clinically Depressed Sample

2024-10-15

Abstract excerpt

<p>Background: Despite major strides in conceptualizing and modeling the multifaceted nature of suicidal thought and behavior (STB) over the past few decades, the overall predictability of STB has not improved. This may be partly due to the dynamic nature of suicidal ideation (SI), which often fluctuates over hours, yet is largely overlooked in studies. Bolstered by the application and promise of natural language...

Topics

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

Identifiers and source

Literature Corpus work
fc2dafda-39be-5de2-a237-1df232d26745
DOI
10.31234/osf.io/c6uvy
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.
Acute Suicidal Ideation in Context: Highlighting Sentiment-based Markers through the Diary Entries of a Clinically Depressed SampleDOI 10.31234/osf.io/c6uvy
Semantic signals in self-reference: The detection and prediction of depressive symptoms from the daily diary entries of a sample with major depressive disorderSemantic proximity
Deep phenotyping of suicidal ideation after discharge from psychiatric inpatient care: study protocol for an interdisciplinary, multicentre prospective observational study in Psychiatric University Hospitals.Semantic proximity
INSIGHTFUL: Insight Generation through Clinical Annotation, Analysis, and Modeling of Suicide-Related Factors towards Understanding and LifesavingSemantic proximity
Association between biological rhythm disturbances and suicidal ideation in mood disorders: A cross-sectional study in ChinaSemantic proximity
Portrait of Mental Health Identified by People with the Post-Covid SyndromeSemantic proximity
Personalizing Suicide Risk Assessment: Machine Learning Extraction of Cross-Modal Interactions Between Psychosocial and Demographic Factors in Veterans <sup>1</sup>Semantic proximity
Exploring the Generalizability and Explainability of LLMs in Detecting Suicidal Ideation: The Impact of Data HeterogeneitySemantic proximity
Digital phenotyping of suicidal thoughts.Semantic proximity
In Their Own Words: Case Studies of Adolescent Smartphone Language Preceding Suicide-related HospitalizationsSemantic proximity
The association between Digital Biomarkers and Suicidality: a Scoping Review and Bibliometric AnalysisSemantic proximity
Conversational trajectory degrades large language model detection of suicidal ideation relative to clinicians: a preregistered studySemantic proximity
Suicidality and Mood: The Impact of Trends, Seasons, Day of the Week, and Time of Day on Implicit and Explicit CognitionsSemantic proximity
Select a neighboring publication to make it the new centre.