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Death risk and the importance of clinical features in elderly people with COVID-19 using the random forest algorithm. (Special issue.)
Lima, T. P. F., Sena, G. R., Neves, C. S., Vidal, S. A., Lima, J. T. O., Mello, M. J. G., Fonseca e Silva, F. A. de O. L. da.
Non-communicable Human Diseases and Injuries [VV600] Prion, Viral, Bacterial and Fungal Pathogens of Humans [VV210] human diseases risk factors death risk elderly algorithms cardiovascular diseases cardiovascular system clinical aspects symptoms viral diseases man Brazil Pernambuco Community of Portuguese Language Countries Developing Countries Latin America America South America Threshold Countries Homo Hominidae primates mammals vertebrates Chordata animals eukaryotes Severe acute respiratory syndrome coronavirus 2 coronavirus disease 2019 aged elderly people older adults senior citizens circulatory system clinical picture viral infections ; 2021(Revista Brasileira de Saude Materno Infantil 2021)
Article | WHO COVID | ID: covidwho-1319543
ABSTRACT

Objectives:

train a Random Forest (RF) classifier to estimate death risk in elderly people (over 60 years old) diagnosed with COVID-19 in Pernambuco. A "feature" of this classifier, called feature importance, was used to identify the attributes (main risk factors) related to the outcome (cure or death) through gaining information.
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Collection: Databases of international organizations Database: WHO COVID Type of study: Prognostic study / Randomized controlled trials Journal: Non-communicable Human Diseases and Injuries [VV600] Prion, Viral, Bacterial and Fungal Pathogens of Humans [VV210] human diseases risk factors death risk elderly algorithms cardiovascular diseases cardiovascular system clinical aspects symptoms viral diseases man Brazil Pernambuco Community of Portuguese Language Countries Developing Countries Latin America America South America Threshold Countries Homo Hominidae primates mammals vertebrates Chordata animals eukaryotes Severe acute respiratory syndrome coronavirus 2 coronavirus disease 2019 aged elderly people older adults senior citizens circulatory system clinical picture viral infections Document Type: Article

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Collection: Databases of international organizations Database: WHO COVID Type of study: Prognostic study / Randomized controlled trials Journal: Non-communicable Human Diseases and Injuries [VV600] Prion, Viral, Bacterial and Fungal Pathogens of Humans [VV210] human diseases risk factors death risk elderly algorithms cardiovascular diseases cardiovascular system clinical aspects symptoms viral diseases man Brazil Pernambuco Community of Portuguese Language Countries Developing Countries Latin America America South America Threshold Countries Homo Hominidae primates mammals vertebrates Chordata animals eukaryotes Severe acute respiratory syndrome coronavirus 2 coronavirus disease 2019 aged elderly people older adults senior citizens circulatory system clinical picture viral infections Document Type: Article