Variable importance evaluation with personalized odds ratio for machine learning model interpretability with applications to electronic health records‐based mortality prediction

Research article (Statistics in Medicine, 2023) · cited 14× · AI/ML
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Variable importance evaluation with personalized odds ratio for machine learning model interpretability with applications to electronic health records‐based mortality prediction

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Variable importance evaluation with personalized odds ratio for machine learning model interpretability with applications to electronic health records‐based mortality prediction is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Variable importance evaluation with personalized odds ratio for machine learning model interpretability with applications to electronic health records‐based mortality prediction. Retrieved May 24, 2026, from https://4ort.xyz/entity/variable-importance-evaluation-with-personalized-odds-ratio-for-machine-learning-model-interpretability-with-application
MLA “Variable importance evaluation with personalized odds ratio for machine learning model interpretability with applications to electronic health records‐based mortality prediction.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/variable-importance-evaluation-with-personalized-odds-ratio-for-machine-learning-model-interpretability-with-application.
BibTeX @misc{4ortxyz_variable-importance-evaluation-with-personalized-odds-ratio-for-machine-learning-model-interpretability-with-application_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Variable importance evaluation with personalized odds ratio for machine learning model interpretability with applications to electronic health records‐based mortality prediction}}, year = {2026}, url = {https://4ort.xyz/entity/variable-importance-evaluation-with-personalized-odds-ratio-for-machine-learning-model-interpretability-with-application}, note = {Accessed: 2026-05-24}}
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