Article

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

2020-10-30

Abstract excerpt

<title>Abstract</title> <p><bold>Background:</bold> Two tests are currently available to diagnose COVID-19: chest-CT and RT-PCR. These tests are sub-optimal when they are used independently but their combination on every suspected COVID-19 patient requires considerable resources. The potential contribution of machine learning in this situation has not been evaluated. The objective of this study was to develop and...

Topics

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

Identifiers and source

Literature Corpus work: 1f1e4be8-fc75-5c1f-9f91-456a163f2df6
DOI: 10.21203/rs.3.rs-100691/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Machine learning is the key to diagnose COVID-19: a proof of concept study.DOI 10.21203/rs.3.rs-100691/v1Read

A prediction model based on machine learning for diagnosing the early COVID-19 patientsSemantic proximity Read

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

COVID-19 Mortality Risk Prediction using Clinical and Laboratory Examination: Machine Learning Approach for ImplementationSemantic proximity Read

Using Machine Learning to assess Covid-19 risksSemantic proximity Read

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

Management of Severe COVID-19 Diagnosis Using Machine LearningSemantic 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

Using Automated-Machine Learning to Predict COVID-19 Patient Survival: Identify Influential BiomarkersSemantic 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 for predicting clinical outcomes in emergency department patients with acute respiratory infections: A scoping reviewSemantic proximity Read