Published July 24, 2024 | Version v1
Dataset Open

Data set supplementing "A Use-Case Specific Framework for Designing Representative Vignettes (RepVig) and Evaluating Triage Accuracy of Laypeople and Symptom-Assessment Applications"

  • 1. ROR icon Technische Universität Berlin
  • 2. ROR icon Charité - Universitätsmedizin Berlin

Description

This is the de-identified data set used to conduct the analyses of our study "A Use-Case Specific Framework for Designing Representative Vignettes (RepVig) and Evaluating Triage Accuracy of Laypeople and Symptom-Assessment Applications" (https://doi.org/10.1101/2024.04.02.24305193). The data comprises the answers to cases given by laypeople, symptom-assessment applications, and large language models and the corresponding solutions for each case. The cases were developed in the study with a focus on external validity.

The dataset contains three datafiles: collected data for laypeople, for symptom-assessment applications, and for large language models. 

Files

data_laypeople.csv

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md5:7af9458da3ceb7322db6b56c90a49b18
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md5:739baf080c69da726e3b76ab5747ee1c
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Additional details

Related works

Is supplement to
Preprint: 10.1101/2024.04.02.24305193 (DOI)