Article

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

2020-09-01

Abstract excerpt

<h4>Introduction</h4> 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 necessary to improve survival of patients, especially in developing countries. This study proposes to predict the risk of developing critical conditions in COVID-19 patients by training multipurpose algorithms. <h4>Method...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: b4780efb-4a0d-5990-b419-7317fb72fcc4
DOI: 10.1101/2020.08.26.20182584

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

A multipurpose machine learning approach to predict COVID-19 negative prognosis in São Paulo, BrazilDOI 10.1101/2020.08.26.20182584Read

Prognosing the Risk of COVID-19 Death Through a Machine Learning-Based Routine Blood PanelSemantic proximity Read

Using Automated-Machine Learning to Predict COVID-19 Patient Survival: Identify Influential BiomarkersSemantic proximity Read

Development and validation of predictive models for mortality of cases with COVID-19 (Omicron BA.5.2.48 and B.7.14): A retrospective studySemantic proximity Read

Machine learning is the key to diagnose COVID-19: a proof of concept study.Semantic proximity Read

Systematic review and critical appraisal of prediction models for diagnosis and prognosis of COVID-19 infectionSemantic proximity Read

Predicting mortality in SARS-COV-2 (COVID-19) positive patients in the inpatient setting using a Novel Deep Neural NetworkSemantic proximity Read

Machine Learning Models in Classifying, Predicting and Managing COVID-19 SeveritySemantic proximity Read

Machine Learning Models in Classifying, Predicting and Managing COVID-19 SeveritySemantic proximity Read

Machine learning in predicting respiratory failure in patients with COVID-19 pneumonia - challenges, strengths, and opportunities in a global health emergencySemantic proximity Read

Machine learning for predicting clinical outcomes in emergency department patients with acute respiratory infections: A scoping reviewSemantic proximity Read

Using Machine Learning to assess Covid-19 risksSemantic proximity Read

Management of Severe COVID-19 Diagnosis Using Machine LearningSemantic proximity Read