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Extremely missing numerical data in Electronic Health Records for machine learning can be managed through simple imputation methods considering informative missingness: A comparative of solutions in a COVID-19 mortality case study

Research article (Computer Methods and Programs in Biomedicine, 2023) · cited 26× · AI/ML
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Extremely missing numerical data in Electronic Health Records for machine learning can be managed through simple imputation methods considering informative missingness: A comparative of solutions in a COVID-19 mortality case study

Summary

Extremely missing numerical data in Electronic Health Records for machine learning can be managed through simple imputation methods considering informative missingness: A comparative of solutions in a COVID-19 mortality case study is a scholarly article[1].

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  • Extremely missing numerical data in Electronic Health Records for machine learning can be managed through simple imputation methods considering informative missingness: A comparative of solutions in a COVID-19 mortality case study's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Extremely missing numerical data in Electronic Health Records for machine learning can be managed through simple imputation methods considering informative missingness: A comparative of solutions in a COVID-19 mortality case study. Retrieved May 24, 2026, from https://4ort.xyz/entity/extremely-missing-numerical-data-in-electronic-health-records-for-machine-learning-can-be-managed-through-simple-imputat
MLA “Extremely missing numerical data in Electronic Health Records for machine learning can be managed through simple imputation methods considering informative missingness: A comparative of solutions in a COVID-19 mortality case study.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/extremely-missing-numerical-data-in-electronic-health-records-for-machine-learning-can-be-managed-through-simple-imputat.
BibTeX @misc{4ortxyz_extremely-missing-numerical-data-in-electronic-health-records-for-machine-learning-can-be-managed-through-simple-imputat_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Extremely missing numerical data in Electronic Health Records for machine learning can be managed through simple imputation methods considering informative missingness: A comparative of solutions in a COVID-19 mortality case study}}, year = {2026}, url = {https://4ort.xyz/entity/extremely-missing-numerical-data-in-electronic-health-records-for-machine-learning-can-be-managed-through-simple-imputat}, note = {Accessed: 2026-05-24}}
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