The use of misclassification costs to learn rule-based decision support models for cost-effective hospital admission strategies.

By Richard Ambrosino, Bruce G. Buchanan, Gregory F. Cooper, Michael J. Fine. 1995

Subfields: Medical & Health AI

How researchers see this paper

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In Medical & Health AI

1. R. Caruana
2. Katherine A. Heller
3. Xiaohua Zhai
4. Noémie Elhadad
5. Neil Houlsby
6. Harini Suresh
7. Sarah Tan
8. Bernease Herman

Citations in the corpus

• Underspecification Presents Challenges for Credibility in Modern Machine Learning (2020, background): “Ambrosino et al. (1995); Brisimi et al.”
• Intelligible Models for HealthCare: Predicting Pneumonia Risk and Hospital 30-day Readmission (2015, methodology): “Why? One of the methods being evaluated was rule-based learning [1].”
• Causal inference and counterfactual prediction in machine learning for actionable healthcare (2020, background): “Target trials refer to RCTs that can be emulated using data from large, observational databases to answer causal questions of comparative”