Interpretable classifiers using rules and Bayesian analysis: Building a better stroke prediction model
Summary
Interpretable classifiers using rules and Bayesian analysis: Building a better stroke prediction model is a scholarly article[1].
Key Facts
Interpretable classifiers using rules and Bayesian analysis: Building a better stroke prediction model's instance of is recorded as scholarly article[2].
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.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 promptAccording 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)