Comparing Explainable Machine Learning Approaches With Traditional Statistical Methods for Evaluating Stroke Risk Models: Retrospective Cohort Study

Research article (JMIR Cardio, 2023) · cited 21× · AI/ML
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Comparing Explainable Machine Learning Approaches With Traditional Statistical Methods for Evaluating Stroke Risk Models: Retrospective Cohort Study

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Comparing Explainable Machine Learning Approaches With Traditional Statistical Methods for Evaluating Stroke Risk Models: Retrospective Cohort Study is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Comparing Explainable Machine Learning Approaches With Traditional Statistical Methods for Evaluating Stroke Risk Models: Retrospective Cohort Study. Retrieved May 24, 2026, from https://4ort.xyz/entity/comparing-explainable-machine-learning-approaches-with-traditional-statistical-methods-for-evaluating-stroke-risk-models
MLA “Comparing Explainable Machine Learning Approaches With Traditional Statistical Methods for Evaluating Stroke Risk Models: Retrospective Cohort Study.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/comparing-explainable-machine-learning-approaches-with-traditional-statistical-methods-for-evaluating-stroke-risk-models.
BibTeX @misc{4ortxyz_comparing-explainable-machine-learning-approaches-with-traditional-statistical-methods-for-evaluating-stroke-risk-models_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Comparing Explainable Machine Learning Approaches With Traditional Statistical Methods for Evaluating Stroke Risk Models: Retrospective Cohort Study}}, year = {2026}, url = {https://4ort.xyz/entity/comparing-explainable-machine-learning-approaches-with-traditional-statistical-methods-for-evaluating-stroke-risk-models}, note = {Accessed: 2026-05-24}}
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