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Accurate Classification of COVID-19 Based on Incomplete Heterogeneous Data using a KNN Variant Algorithm
Great efforts are now underway to control the coronavirus 2019 disease (COVID-19). Millions of people are medically examined, and their data keep piling up awaiting classification. The data are typically both incomplete and heterogeneous which hampers classical classification algorithms. Some resear...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Springer Berlin Heidelberg
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7931985/ https://www.ncbi.nlm.nih.gov/pubmed/33688457 http://dx.doi.org/10.1007/s13369-020-05212-z |