Personalized diagnosis in suspected myocardial infarction

Background In suspected myocardial infarction (MI), guidelines recommend using high-sensitivity cardiac troponin (hs-cTn)-based approaches. These require fixed assay-specific thresholds and timepoints, without directly integrating clinical information. Using machine-learning techniques including hs-...

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Veröffentlicht in:	Clinical research in cardiology 2023, Vol.112 (9), p.1288-1301
Hauptverfasser:	Neumann, Johannes Tobias, Twerenbold, Raphael, Ojeda, Francisco, Aldous, Sally J., Allen, Brandon R., Apple, Fred S., Babel, Hugo, Christenson, Robert H., Cullen, Louise, Di Carluccio, Eleonora, Doudesis, Dimitrios, Ekelund, Ulf, Giannitsis, Evangelos, Greenslade, Jaimi, Inoue, Kenji, Jernberg, Tomas, Kavsak, Peter, Keller, Till, Lee, Kuan Ken, Lindahl, Bertil, Lorenz, Thiess, Mahler, Simon A., Mills, Nicholas L., Mokhtari, Arash, Parsonage, William, Pickering, John W., Pemberton, Christopher J., Reich, Christoph, Richards, A. Mark, Sandoval, Yader, Than, Martin P., Toprak, Betül, Troughton, Richard W., Worster, Andrew, Zeller, Tanja, Ziegler, Andreas, Blankenberg, Stefan
Format:	Artikel
Sprache:	eng
Schlagworte:	Acute myocardial infarction Angina Pectoris Assaying Biomarker Biomarkers Calibration Cardiac and Cardiovascular Systems Cardiology Cardiovascular diseases Clinical Medicine Clinical Studies as Topic Customization EKG Electrocardiography Emergency medical care Emergency medical services Health risks Heart attacks Humans Kardiologi Klinisk medicin Learning algorithms Machine learning Medical and Health Sciences Medicin och hälsovetenskap Medicine Medicine & Public Health Myocardial infarction Myocardial Infarction - diagnosis NCT NCT02355457 Original Paper Probability Resampling Risk factors ROC Curve Safety Super learner Troponin Troponin I Troponin T Validation
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