Cased-Based Reasoning for medical knowledge-based systems

By Rainer Schmidt, Stefania Montani, Riccardo Bellazzi, Luigi Portinale, Lothar Gierl. 2001

179 citations recorded by the source corpus.

Subfields: Artificial Intelligence

How researchers see this paper

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In Artificial Intelligence

1. Liu Ren
2. Yao Ming
3. Huamin Qu
4. Panpan Xu
5. Cynthia Rudin
6. Joanna Radin

Citations in the corpus

• Interpretable and Steerable Sequence Learning via Prototypes (2019, background): “in many application scenarios [29]. We leverage the concept of prototype learning to construct deep sequence model with built-in interpretability. Prototype learning is a form of case-based reasoning [18, 30], which draws conclusions for new inputs by comparing them with a few exemplar cases (i.e. a”