[HTML] nature.com

[HTML][HTML] A multipurpose machine learning approach to predict COVID-19 negative prognosis in São Paulo, Brazil

FT Fernandes, TA de Oliveira, CE Teixeira… - Scientific reports, 2021 - nature.com
The new coronavirus disease (COVID-19) is a challenge for clinical decision-making and
the effective allocation of healthcare resources. An accurate prognostic assessment is …
被引用次数：95 相关文章
[PDF] usp.br

[PDF][PDF] A multipurpose machine learning approach to predict COVID-19 negative prognosis in São Paulo, Brazil

FT Fernandes, TA Oliveira, CE Teixeira… - Scientific …, 2021 - repositorio.usp.br
Results Descriptive statistics. Table 1 shows the descriptive statistics for the demographic
characteristics of the patients. The sample of the study (1040 patients with COVID-19) was …
[HTML] nih.gov

[HTML][HTML] A multipurpose machine learning approach to predict COVID-19 negative prognosis in São Paulo, Brazil

FT Fernandes, TA de Oliveira, CE Teixeira… - Scientific …, 2021 - ncbi.nlm.nih.gov
The new coronavirus disease (COVID-19) is a challenge for clinical decision-making and
the effective allocation of healthcare resources. An accurate prognostic assessment is …

A multipurpose machine learning approach to predict COVID-19 negative prognosis in São Paulo, Brazil

FT Fernandes, TA de Oliveira, CE Teixeira… - Scientific …, 2021 - ui.adsabs.harvard.edu
The new coronavirus disease (COVID-19) is a challenge for clinical decision-making and
the effective allocation of healthcare resources. An accurate prognostic assessment is …
[PDF] academia.edu

[PDF][PDF] A multipurpose machine learning approach to predict COVID‑19 negative prognosis in São Paulo, Brazil

FT Fernandes, TA de Oliveira, CE Teixeira… - Scientific …, 2021 - academia.edu
Results Descriptive statistics. Table 1 shows the descriptive statistics for the demographic
characteristics of the patients. The sample of the study (1040 patients with COVID-19) was …

A multipurpose machine learning approach to predict COVID-19 negative prognosis in São Paulo, Brazil

FT Fernandes, TA de Oliveira, CE Teixeira… - Scientific …, 2021 - pubmed.ncbi.nlm.nih.gov
The new coronavirus disease (COVID-19) is a challenge for clinical decision-making and
the effective allocation of healthcare resources. An accurate prognostic assessment is …

A multipurpose machine learning approach to predict COVID-19 negative prognosis in São Paulo, Brazil.

FT Fernandes, TA de Oliveira, CE Teixeira… - 2021 - cabidigitallibrary.org
The new coronavirus disease (COVID-19) is a challenge for clinical decision-making and
the effective allocation of healthcare resources. An accurate prognostic assessment is …

A multipurpose machine learning approach to predict COVID-19 negative prognosis in São Paulo, Brazil

FT Fernandes, TA de Oliveira, CE Teixeira… - medRxiv, 2020 - medrxiv.org
Introduction The new coronavirus disease (COVID-19) is a challenge for clinical decision-
making and the effective allocation of healthcare resources. An accurate prognostic …
[PDF] archive.org

[PDF][PDF] A multipurpose machine learning approach to predict COVID‑19 negative prognosis in São Paulo, Brazil

FT Fernandes, TA de Oliveira, CE Teixeira… - Scientific …, 2021 - scholar.archive.org
Results Descriptive statistics. Table 1 shows the descriptive statistics for the demographic
characteristics of the patients. The sample of the study (1040 patients with COVID-19) was …

A multipurpose machine learning approach to predict COVID-19 negative prognosis in São Paulo, Brazil.

FT Fernandes, TA de Oliveira, CE Teixeira… - Scientific …, 2021 - search.ebscohost.com
The new coronavirus disease (COVID-19) is a challenge for clinical decision-making and
the effective allocation of healthcare resources. An accurate prognostic assessment is …