An automated feature selection and classification pipeline to improve explainability of clinical prediction models

Research article (2021 IEEE 9th International Conference on Healthcare Informatics (ICHI), 2021) · cited 24× · AI/ML
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An automated feature selection and classification pipeline to improve explainability of clinical prediction models

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An automated feature selection and classification pipeline to improve explainability of clinical prediction models is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). An automated feature selection and classification pipeline to improve explainability of clinical prediction models. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-automated-feature-selection-and-classification-pipeline-to-improve-explainability-of-clinical-prediction-models
MLA “An automated feature selection and classification pipeline to improve explainability of clinical prediction models.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-automated-feature-selection-and-classification-pipeline-to-improve-explainability-of-clinical-prediction-models.
BibTeX @misc{4ortxyz_an-automated-feature-selection-and-classification-pipeline-to-improve-explainability-of-clinical-prediction-models_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An automated feature selection and classification pipeline to improve explainability of clinical prediction models}}, year = {2026}, url = {https://4ort.xyz/entity/an-automated-feature-selection-and-classification-pipeline-to-improve-explainability-of-clinical-prediction-models}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An automated feature selection and classification pipeline to improve explainability of clinical prediction models — https://4ort.xyz/entity/an-automated-feature-selection-and-classification-pipeline-to-improve-explainability-of-clinical-prediction-models (retrieved 2026-05-24)

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