Supersparse linear integer models for optimized medical scoring systems
Scoring systems are linear classification models that only require users to add, subtract and multiply a few small numbers in order to make a prediction. These models are in widespread use by the medical community, but are difficult to learn from data because they need to be accurate and sparse, hav...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer US
2016
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| Online Access: | http://hdl.handle.net/1721.1/103141 https://orcid.org/0000-0001-5188-3155 |