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http://hdl.handle.net/1942/42203
Title: | Integrative interpretation of cardiopulmonary exercise tests for cardiovascular risk stratification: a machine learning approach | Authors: | Cauwenberghs, N. Sente, J. Sabovcik, F. Ntalianis, E. Claes , J. CLAESSEN, Guido Budts, W. Goetschalckx, K. Cornelissen, V. Kuznetsova, T. |
Issue Date: | 2023 | Publisher: | OXFORD UNIV PRESS | Source: | EUROPEAN HEART JOURNAL, 44 (S2) | Abstract: | Background and objectives: Cardiopulmonary exercise testing (CPET) remains underutilized for cardiovascular (CV) risk assessment. Integrative interpretation of CPET results may improve characterization of cardiorespiratory fitness and assessment of CV risk. Therefore, we explored the clinical value of CPET-based phenomapping for CV risk stratification. | Document URI: | http://hdl.handle.net/1942/42203 | ISSN: | 0195-668X | e-ISSN: | 1522-9645 | ISI #: | 001115619404067 | Category: | M | Type: | Journal Contribution |
Appears in Collections: | Research publications |
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ehad655-batch-10 258..258.pdf | Published version | 189.88 kB | Adobe PDF | View/Open |
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