Supervised Models for Clinical Text: Evaluating SVM and BERT Performance

1 Apr 2025

We performed a sentence-level classification using SVM and BERT. The entity-level annotation were converted to sentence-level.

Guidelines for Annotating Social Support and Social Isolation in Clinical Notes

1 Apr 2025

Annotators will annotate all mentions in a clinical note that indicate the presence (or absence) of present/past SI and SS.

Open-Source NLP Systems for Identifying Social Support and Isolation in Psychiatric Notes

1 Apr 2025

We offer two open-source NLP systems with different approaches, as well as a manual annotation guideline for identifying SS and SI.

NLP Performance in Clinical Notes: Addressing Data Limitations and System Overfitting

1 Apr 2025

There were insufficient instances in the notes of the emotional support subcategories to evaluate the NLP systems.

Natural Language Processing for Risk Assessment: Identifying SI/SS in Psychiatric Notes

1 Apr 2025

This study presents rule- and LLM-based NLP systems to identify fine-grained categories of SS and SI in clinical notes of psychiatric patients

Extracting Social Support and Isolation Info From Clinical Notes: Demo and System Performance

1 Apr 2025

The demographic characteristics of patients within the annotated cohort are detailed in Table 2.

Developing Rule and LLM-Based Systems to Identify Mentions of Fine-Grained Categories

1 Apr 2025

We developed rule- and LLM-based systems to identify mentions of fine-grained categories in clinical notes.

This Is How We Created Gold Standard Data for Developing the NLP Pipelines

1 Apr 2025

To create gold standard data for developing the NLP pipelines, we selected 300 notes from 300 unique patients at MSHS

How We Collected Lexicons for Fine-Grained Categories of SS and SI Using an Iterative Method

1 Apr 2025

We collected lexicons for fine-grained categories of SS and SI using an iterative method that included manual chart reviews and semi-automatic methods.