Receiver Operating Characteristic (ROC) curves for machine learning methods for the risk of cardiovascular or pulmonary complications.

<p>Internal validation.</p>

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Bibliographic Details
Main Author:	Siranush Karapetyan (11592663) (author)
Other Authors:	Antonius Schneider (546189) (author), Klaus Linde (462092) (author), Ewan Donnachie (11037323) (author), Alexander Hapfelmeier (137719) (author)
Published:	2021
Subjects:	Medicine Cell Biology Biotechnology Cancer Infectious Diseases Virology Computational Biology Mathematical Sciences not elsewhere classified receive special attention polymerase chain reaction first three quarters decision rules achieved coronary heart disease 99 811 participants ambulatory claims data risk assessment based significant risk factors defined risk factors type 2 diabetes 58 ), hypertension prognostic modelling based risk factors prognostic modelling ambulatory care statistical modelling xlink "> testing positive test confirmed significantly associated severe covid pulmonary complications odds ratio might help machine learning intensified protection identify patients hypothesis testing hospital setting effect estimation 23 ). 2 infection
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