Multi role ChatGPT framework for transforming medical data analysis.
Sci Rep
; 14(1): 13930, 2024 06 17.
Article
em En
| MEDLINE
| ID: mdl-38886470
ABSTRACT
The application of ChatGPTin the medical field has sparked debate regarding its accuracy. To address this issue, we present a Multi-Role ChatGPT Framework (MRCF), designed to improve ChatGPT's performance in medical data analysis by optimizing prompt words, integrating real-world data, and implementing quality control protocols. Compared to the singular ChatGPT model, MRCF significantly outperforms traditional manual analysis in interpreting medical data, exhibiting fewer random errors, higher accuracy, and better identification of incorrect information. Notably, MRCF is over 600 times more time-efficient than conventional manual annotation methods and costs only one-tenth as much. Leveraging MRCF, we have established two user-friendly databases for efficient and straightforward drug repositioning analysis. This research not only enhances the accuracy and efficiency of ChatGPT in medical data science applications but also offers valuable insights for data analysis models across various professional domains.
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Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Análise de Dados
Limite:
Humans
Idioma:
En
Ano de publicação:
2024
Tipo de documento:
Article