Comparison of machine learning methods with logistic regression analysis in creating predictive models for risk of critical in-hospital events in COVID-19 patients on hospital admission - researchr publication authors

researchr

You are not signed in
Sign in
Sign up

Aaron W. Sievering, Peter Wohlmuth, Nele Geßler, Melanie A. Gunawardene, Klaus Herrlinger, Berthold Bein, Dirk Arnold, Martin Bergmann, Lorenz Nowak, Christian Gloeckner, Ina Koch, Martin Bachmann, Christoph U. Herborn, Axel Stang. Comparison of machine learning methods with logistic regression analysis in creating predictive models for risk of critical in-hospital events in COVID-19 patients on hospital admission. BMC Med. Inf. & Decision Making, 22(1):309, 2022. [doi]

This author has not been identified. Look up 'Aaron W. Sievering' in GoogleThis author has not been identified. Look up 'Peter Wohlmuth' in GoogleThis author has not been identified. Look up 'Nele Geßler' in GoogleThis author has not been identified. Look up 'Melanie A. Gunawardene' in GoogleThis author has not been identified. Look up 'Klaus Herrlinger' in GoogleThis author has not been identified. Look up 'Berthold Bein' in GoogleThis author has not been identified. Look up 'Dirk Arnold' in GoogleThis author has not been identified. Look up 'Martin Bergmann' in GoogleThis author has not been identified. Look up 'Lorenz Nowak' in GoogleThis author has not been identified. Look up 'Christian Gloeckner' in GoogleThis author has not been identified. Look up 'Ina Koch' in GoogleThis author has not been identified. Look up 'Martin Bachmann' in GoogleThis author has not been identified. Look up 'Christoph U. Herborn' in GoogleThis author has not been identified. Look up 'Axel Stang' in Google

runs on WebDSL