Summary of Page: Domain-incremental Adaptation with Past-agnostic Generative Replay For Smart Healthcare, by Chia-hao Li and Niraj K. Jha
PAGE: Domain-Incremental Adaptation with Past-Agnostic Generative Replay for Smart Healthcare
by Chia-Hao Li, Niraj K. Jha
First submitted to arxiv on: 13 Mar 2024
Categories
- Main: Machine Learning (cs.LG)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper proposes a novel strategy called PAGE (domain-incremental adaptation strategy with past-agnostic generative replay) for smart healthcare applications. PAGE enables generative replay without relying on preserved data from prior domains, allowing it to adapt to new domains while retaining knowledge from previous ones. The approach combines real data from the target domain with synthetic data generated using the current model, which is then replayed during training to achieve a balance between adaptation and knowledge retention. Additionally, PAGE incorporates an extended inductive conformal prediction (EICP) method to produce interpretable predictions with statistical guarantees for disease detection. The authors demonstrate PAGE’s effectiveness on three distinct disease datasets collected from commercially available WMSs, achieving competitive performance while offering superior scalability, data privacy, and feasibility. Furthermore, PAGE can potentially reduce clinical workload by up to 75% with the aid of EICP. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper introduces a new way to help doctors use computers to detect diseases. It’s called PAGE, which helps computers learn from one kind of medical data and then apply that learning to another kind of data. This is useful because there are many different types of medical data, and doctors need help sorting through all of it. The computer system also gives doctors a way to understand how sure they should be about each diagnosis, which can help them make better decisions. The researchers tested PAGE on three different kinds of medical data and found that it worked really well. This could help doctors do their jobs more efficiently and effectively. |
Keywords
* Artificial intelligence * Synthetic data
