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The potential of GPT-4 advanced data analysis for radiomics-based machine learning models
4
Zitationen
11
Autoren
2024
Jahr
Abstract
Background: This study aimed to explore the potential of the Advanced Data Analytics (ADA) package of GPT-4 to autonomously develop machine learning models (MLMs) for predicting glioma molecular types using radiomics from MRI. Methods: = 410). Results: < .001). Class-wise analysis revealed the same pattern as observed in D3. Conclusions: GPT-4 can autonomously develop radiomics-based MLMs, achieving performance comparable to handcrafted MLMs. However, its poorer class-wise performance due to unbalanced datasets shows limitations in handling complete end-to-end ML pipelines.
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