Accurate computation: COVID-19 rRT-PCR positive test dataset using stages classification through textual big data mining with machine learning.

Ramanathan S, Ramasundaram M

DOI: 10.1007/s11227-020-03586-3
Published: 2021
Container: The Journal of supercomputing
Publisher: Not recorded
Open access: yes

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BibTeX

@article{allodium:10.1007/s11227-020-03586-3,
  title = {Accurate computation: COVID-19 rRT-PCR positive test dataset using stages classification through textual big data mining with machine learning.},
  author = {Ramanathan S and Ramasundaram M},
  year = {2021},
  journal = {The Journal of supercomputing},
  doi = {10.1007/s11227-020-03586-3},
  url = {https://doi.org/10.1007/s11227-020-03586-3}
}

RIS

TY  - JOUR
TI  - Accurate computation: COVID-19 rRT-PCR positive test dataset using stages classification through textual big data mining with machine learning.
AU  - Ramanathan S
AU  - Ramasundaram M
PY  - 2021
JO  - The Journal of supercomputing
DO  - 10.1007/s11227-020-03586-3
UR  - https://doi.org/10.1007/s11227-020-03586-3
ER  -

APA

S, R., & M, R. (2021). Accurate computation: COVID-19 rRT-PCR positive test dataset using stages classification through textual big data mining with machine learning.. The Journal of supercomputing. https://doi.org/10.1007/s11227-020-03586-3

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pubmed · retrieved 2026-09-25T04:39:37.748Z