Deep learning for autism detection using clinical notes: A comparison of transfer learning for a transparent and black-box approach
Published:Dec 5, 2025 21:14
•1 min read
•ArXiv
Analysis
This article explores the application of deep learning, specifically transfer learning, for autism detection using clinical notes. It compares transparent and black-box approaches, suggesting a focus on model explainability and potentially, the trade-offs between accuracy and interpretability. The source being ArXiv indicates this is likely a research paper, focusing on the technical aspects of the AI model and its performance.
Key Takeaways
Reference
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