An Interpretable Stroke Prediction Model using Rules and Bayesian Analysis
We aim to produce predictive models that are not only accurate, but are also interpretable to human experts. Our models are decision lists, which consist of a series of if...then... statements (for example, if high blood pressure, then stroke) that discretize a high-dimensional, multivariate feature...
| Main Authors: | , , , |
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| Format: | Working Paper |
| Language: | en_US |
| Published: |
2013
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| Online Access: | http://hdl.handle.net/1721.1/82148 |