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XGBoost-Based Feature Learning Method for Mining COVID-19 Novel Diagnostic Markers

Research article (Frontiers in Public Health, 2022) · cited 32× · AI/ML
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Summary

XGBoost-Based Feature Learning Method for Mining COVID-19 Novel Diagnostic Markers is a scholarly article[1].

Key Facts

  • XGBoost-Based Feature Learning Method for Mining COVID-19 Novel Diagnostic Markers's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

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Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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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.

APA 4ort.xyz Knowledge Graph. (2026). XGBoost-Based Feature Learning Method for Mining COVID-19 Novel Diagnostic Markers. Retrieved May 24, 2026, from https://4ort.xyz/entity/xgboost-based-feature-learning-method-for-mining-covid-19-novel-diagnostic-markers
MLA “XGBoost-Based Feature Learning Method for Mining COVID-19 Novel Diagnostic Markers.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/xgboost-based-feature-learning-method-for-mining-covid-19-novel-diagnostic-markers.
BibTeX @misc{4ortxyz_xgboost-based-feature-learning-method-for-mining-covid-19-novel-diagnostic-markers_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{XGBoost-Based Feature Learning Method for Mining COVID-19 Novel Diagnostic Markers}}, year = {2026}, url = {https://4ort.xyz/entity/xgboost-based-feature-learning-method-for-mining-covid-19-novel-diagnostic-markers}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): XGBoost-Based Feature Learning Method for Mining COVID-19 Novel Diagnostic Markers — https://4ort.xyz/entity/xgboost-based-feature-learning-method-for-mining-covid-19-novel-diagnostic-markers (retrieved 2026-05-24)

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