Interpretable classifiers using rules and Bayesian analysis: Building a better stroke prediction model

Research article (The Annals of Applied Statistics, 2015) · cited 768× · AI/ML
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Interpretable classifiers using rules and Bayesian analysis: Building a better stroke prediction model

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Interpretable classifiers using rules and Bayesian analysis: Building a better stroke prediction model is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Interpretable classifiers using rules and Bayesian analysis: Building a better stroke prediction model. Retrieved May 24, 2026, from https://4ort.xyz/entity/interpretable-classifiers-using-rules-and-bayesian-analysis-building-a-better-stroke-prediction-model
MLA “Interpretable classifiers using rules and Bayesian analysis: Building a better stroke prediction model.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/interpretable-classifiers-using-rules-and-bayesian-analysis-building-a-better-stroke-prediction-model.
BibTeX @misc{4ortxyz_interpretable-classifiers-using-rules-and-bayesian-analysis-building-a-better-stroke-prediction-model_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Interpretable classifiers using rules and Bayesian analysis: Building a better stroke prediction model}}, year = {2026}, url = {https://4ort.xyz/entity/interpretable-classifiers-using-rules-and-bayesian-analysis-building-a-better-stroke-prediction-model}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Interpretable classifiers using rules and Bayesian analysis: Building a better stroke prediction model — https://4ort.xyz/entity/interpretable-classifiers-using-rules-and-bayesian-analysis-building-a-better-stroke-prediction-model (retrieved 2026-05-24)

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