Detection of COVID-19 Infection from Routine Blood Exams with Machine Learning: A Feasibility Study
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Title
Detection of COVID-19 Infection from Routine Blood Exams with Machine Learning: A Feasibility Study
Authors
Keywords
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Journal
JOURNAL OF MEDICAL SYSTEMS
Volume 44, Issue 8, Pages -
Publisher
Springer Science and Business Media LLC
Online
2020-07-01
DOI
10.1007/s10916-020-01597-4
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Note: Only part of the references are listed.- Laboratory abnormalities in patients with COVID-2019 infection
- (2020) Giuseppe Lippi et al. CLINICAL CHEMISTRY AND LABORATORY MEDICINE
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- (2020) Nanshan Chen et al. LANCET
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- (2020) Feng Pan et al. RADIOLOGY
- Diagnostic Testing for Severe Acute Respiratory Syndrome–Related Coronavirus-2
- (2020) Matthew P. Cheng et al. ANNALS OF INTERNAL MEDICINE
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- (2020) Meijuan Zheng et al. Cellular & Molecular Immunology
- Routine blood tests as a potential diagnostic tool for COVID-19
- (2020) Davide Ferrari et al. CLINICAL CHEMISTRY AND LABORATORY MEDICINE
- Potential preanalytical and analytical vulnerabilities in the laboratory diagnosis of coronavirus disease 2019 (COVID-19)
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- The three-way-in and three-way-out framework to treat and exploit ambiguity in data
- (2020) Andrea Campagner et al. INTERNATIONAL JOURNAL OF APPROXIMATE REASONING
- Artificial intelligence–enabled rapid diagnosis of patients with COVID-19
- (2020) Xueyan Mei et al. NATURE MEDICINE
- As COVID-19 cases, deaths and fatality rates surge in Italy, underlying causes require investigation
- (2020) Salvatore Rubino et al. Journal of Infection in Developing Countries
- Covid-19: identifying and isolating asymptomatic people helped eliminate virus in Italian village
- (2020) Michael Day BMJ-British Medical Journal
- Liver injury in COVID-19: management and challenges
- (2020) Chao Zhang et al. Lancet Gastroenterology & Hepatology
- The proof of the pudding: in praise of a culture of real-world validation for medical artificial intelligence
- (2019) Federico Cabitza et al. Annals of Translational Medicine
- mice: Multivariate Imputation by Chained Equations inR
- (2015) Stef van Buuren et al. Journal of Statistical Software
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