Enhancement of hepatitis virus immunoassay outcome predictions in imbalanced routine pathology data by data balancing and feature selection before the application of support vector machines

Research article (BMC Medical Informatics and Decision Making, 2017) · cited 22× · AI/ML
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Enhancement of hepatitis virus immunoassay outcome predictions in imbalanced routine pathology data by data balancing and feature selection before the application of support vector machines

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Enhancement of hepatitis virus immunoassay outcome predictions in imbalanced routine pathology data by data balancing and feature selection before the application of support vector machines is a scholarly article[1].

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  • Enhancement of hepatitis virus immunoassay outcome predictions in imbalanced routine pathology data by data balancing and feature selection before the application of support vector machines's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Enhancement of hepatitis virus immunoassay outcome predictions in imbalanced routine pathology data by data balancing and feature selection before the application of support vector machines. Retrieved May 24, 2026, from https://4ort.xyz/entity/enhancement-of-hepatitis-virus-immunoassay-outcome-predictions-in-imbalanced-routine-pathology-data-by-data-balancing-an
MLA “Enhancement of hepatitis virus immunoassay outcome predictions in imbalanced routine pathology data by data balancing and feature selection before the application of support vector machines.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/enhancement-of-hepatitis-virus-immunoassay-outcome-predictions-in-imbalanced-routine-pathology-data-by-data-balancing-an.
BibTeX @misc{4ortxyz_enhancement-of-hepatitis-virus-immunoassay-outcome-predictions-in-imbalanced-routine-pathology-data-by-data-balancing-an_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Enhancement of hepatitis virus immunoassay outcome predictions in imbalanced routine pathology data by data balancing and feature selection before the application of support vector machines}}, year = {2026}, url = {https://4ort.xyz/entity/enhancement-of-hepatitis-virus-immunoassay-outcome-predictions-in-imbalanced-routine-pathology-data-by-data-balancing-an}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Enhancement of hepatitis virus immunoassay outcome predictions in imbalanced routine pathology data by data balancing and feature selection before the application of support vector machines — https://4ort.xyz/entity/enhancement-of-hepatitis-virus-immunoassay-outcome-predictions-in-imbalanced-routine-pathology-data-by-data-balancing-an (retrieved 2026-05-24)

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