Search Results for author:
Found 8 papers, 0 papers with code
Reliability Analysis of Psychological Concept Extraction and Classification in User-penned Text
The social NLP research community witness a recent surge in the computational advancements of mental health analysis to build responsible AI models for a complex interplay between language use and self-perception.
InterPrompt: Interpretable Prompting for Interrelated Interpersonal Risk Factors in Reddit Posts
Mental health professionals and clinicians have observed the upsurge of mental disorders due to Interpersonal Risk Factors (IRFs).
LOST: A Mental Health Dataset of Low Self-esteem in Reddit Posts
Low self-esteem and interpersonal needs (i. e., thwarted belongingness (TB) and perceived burdensomeness (PB)) have a major impact on depression and suicide attempts.
Augmenting Reddit Posts to Determine Wellness Dimensions impacting Mental Health
Amid ongoing health crisis, there is a growing necessity to discern possible signs of Wellness Dimensions (WD) manifested in self-narrated text.
Clinical Concept Extraction: a Methodology Review
Background Concept extraction, a subdomain of natural language processing (NLP) with a focus on extracting concepts of interest, has been adopted to computationally extract clinical information from text for a wide range of applications ranging from clinical decision support to care quality improvement.
Applications of Natural Language Processing in Clinical Research and Practice
Through this tutorial, we would like to introduce NLP methodologies and tools developed in the clinical domain, and showcase the real-world NLP applications in clinical research and practice at Mayo Clinic (the No.
Staggered NLP-assisted refinement for Clinical Annotations of Chronic Disease Events
Domain-specific annotations for NLP are often centered on real-world applications of text, and incorrect annotations may be particularly unacceptable.
