What is it about?
Deep learning has been effective at predicting health outcomes using electronic health records (EHRs). However, its complex inner workings often make doctors and patients hesitant to fully trust its recommendations, especially for important medical decisions. To address the challenge, we have developed a model called Rational Multi-Layer Perceptrons (RMLP). RMLP is a type of model that enhance interpretability by connecting important data from different time periods to form meaningful patterns. Therefore, RMLP makes predictions clearer and more useful for doctors and patients alike.
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Why is it important?
In addition to its superior interpretability, RMLP represents a significant advancement by generalizing traditional multi-layer perceptrons, which typically handle static data, to effectively process sequential, dynamic data.
Perspectives
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This page is a summary of: Interpretable Predictive Models for Healthcare via Rational Multi-Layer Perceptrons, ACM Transactions on Management Information Systems, June 2024, ACM (Association for Computing Machinery),
DOI: 10.1145/3671150.
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