# Identifying Patient Sentiment in Atopic Dermatitis Treatment: Large Language Model Approach

**Authors:** Jack Alexander Cummins, JiaDe Yu

PMC · DOI: 10.2196/78054 · 2026-01-02

## TL;DR

This paper shows that GPT-4o is better than traditional methods at understanding patient sentiment about atopic dermatitis treatments on Reddit.

## Contribution

The novel contribution is using GPT-4o to extract nuanced patient sentiment from social media data for atopic dermatitis treatments.

## Key findings

- GPT-4o outperforms traditional NLP methods in analyzing patient sentiment.
- The model enables reliable extraction of real-world patient perspectives from Reddit.
- The approach provides nuanced insights into treatment perceptions.

## Abstract

This study demonstrates that GPT-4o outperforms traditional natural language processing methods in accurately analyzing patient sentiment toward atopic dermatitis treatments on Reddit, enabling more nuanced and reliable extraction of real-world patient perspectives from large-scale social media data.

## Linked entities

- **Diseases:** atopic dermatitis (MONDO:0004980)

## Full-text entities

- **Diseases:** Atopic Dermatitis (MESH:D003876)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Figures

1 figure with captions in the complete paper: https://tomesphere.com/paper/PMC12811741/full.md

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Source: https://tomesphere.com/paper/PMC12811741