Article

Large Language Models for Detecting Body Weight Changes as Side Effects of Antidepressants in User-Generated Online Content

2023-12-10

Abstract excerpt

<h4>Objective</h4> Healthcare websites allow patients to share their experiences with their treatments. Drug testimonials provide useful information for real-world evidence, particularly on the occurrence of side effects that may be underreported. We investigated the potential of large language models (LLMs) for detecting signals of body weight change as under-reported side effect of antidepressants in user-genera...

Topics

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

Identifiers and source

Literature Corpus work: 60836f5f-1f3d-575a-84b0-61bc92197dd1
DOI: 10.1101/2023.12.09.23299754

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Large Language Models for Detecting Body Weight Changes as Side Effects of Antidepressants in User-Generated Online ContentDOI 10.1101/2023.12.09.23299754Read

Using a Fine-tuned Large Language Model for Symptom-based Depression EvaluationSemantic proximity Read

A Multi-Model Artificial Intelligence Framework for Knowledge Extraction from Patient Drug ReviewsSemantic proximity Read

Toward Digital Twins in the Intensive Care Unit: A Medication Management Case StudySemantic proximity Read

Automated speech content analysis to detect depression with large language models: towards multilingual and few-shot capabilitiesSemantic proximity Read

Automated Insomnia Phenotyping from Electronic Health Records: Leveraging Large Language Models to Decode Clinical NarrativesSemantic proximity Read

Integrating Zero-Shot Classification to Advance Long COVID Literature: A Systematic Social Media–Centered ReviewSemantic proximity Read

Silent Manipulation of Mental Health Treatment Recommendations from a Large Language ModelSemantic proximity Read

Adverse Drug Events Across Data-Production Contexts: Multilingual Detection, Alignment, and Cross-Genre Discourse AnalysisSemantic proximity Read

Evaluating approaches of training a generative large language model for multi-label classification of unstructured electronic health recordsSemantic proximity Read

Simulate Scientific Reasoning with Multiple Large Language Models: An Application to Alzheimer’s Disease Combinatorial TherapySemantic proximity Read

Aspiring to Unintended Consequences of Natural Language Processing: A Review of Recent Developments in Clinical and Consumer-Generated Text Processing.Semantic proximity Read

Identifying Psychiatric Manifestations in Outpatients with Depression and Anxiety: A Large Language Model-Based ApproachSemantic proximity Read