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The number of samples distribution for each state in <t>DS4C</t> dataset.
Ds4c, supplied by Kaggle Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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The number of samples distribution for each state in DS4C dataset.

Journal: ISA Transactions

Article Title: On the prediction of isolation, release, and decease states for COVID-19 patients: A case study in South Korea

doi: 10.1016/j.isatra.2020.12.053

Figure Lengend Snippet: The number of samples distribution for each state in DS4C dataset.

Article Snippet: DS4C has been published on Kaggle recently into public in February 24th, 2020 in South Korea.

Techniques:

The samples distribution for sex feature in DS4C dataset.

Journal: ISA Transactions

Article Title: On the prediction of isolation, release, and decease states for COVID-19 patients: A case study in South Korea

doi: 10.1016/j.isatra.2020.12.053

Figure Lengend Snippet: The samples distribution for sex feature in DS4C dataset.

Article Snippet: DS4C has been published on Kaggle recently into public in February 24th, 2020 in South Korea.

Techniques:

The samples distribution for age feature in DS4C dataset.

Journal: ISA Transactions

Article Title: On the prediction of isolation, release, and decease states for COVID-19 patients: A case study in South Korea

doi: 10.1016/j.isatra.2020.12.053

Figure Lengend Snippet: The samples distribution for age feature in DS4C dataset.

Article Snippet: DS4C has been published on Kaggle recently into public in February 24th, 2020 in South Korea.

Techniques:

The causes for COVID-19 infection in South Korea according to the infection cases in DS4C dataset.

Journal: ISA Transactions

Article Title: On the prediction of isolation, release, and decease states for COVID-19 patients: A case study in South Korea

doi: 10.1016/j.isatra.2020.12.053

Figure Lengend Snippet: The causes for COVID-19 infection in South Korea according to the infection cases in DS4C dataset.

Article Snippet: DS4C has been published on Kaggle recently into public in February 24th, 2020 in South Korea.

Techniques: Infection

Prediction accuracy, error rates and the weighted average F1-scores for the applied algorithms using DS4C dataset.

Journal: ISA Transactions

Article Title: On the prediction of isolation, release, and decease states for COVID-19 patients: A case study in South Korea

doi: 10.1016/j.isatra.2020.12.053

Figure Lengend Snippet: Prediction accuracy, error rates and the weighted average F1-scores for the applied algorithms using DS4C dataset.

Article Snippet: DS4C has been published on Kaggle recently into public in February 24th, 2020 in South Korea.

Techniques: