Cargando…
Integrative Interpretation of Cardiopulmonary Exercise Tests for Cardiovascular Outcome Prediction: A Machine Learning Approach
Integrative interpretation of cardiopulmonary exercise tests (CPETs) may improve assessment of cardiovascular (CV) risk. Here, we identified patient phenogroups based on CPET summary metrics and evaluated their predictive value for CV events. We included 2280 patients with diverse CV risk who underw...
Autores principales: | Cauwenberghs, Nicholas, Sente, Josephine, Van Criekinge, Hanne, Sabovčik, František, Ntalianis, Evangelos, Haddad, Francois, Claes, Jomme, Claessen, Guido, Budts, Werner, Goetschalckx, Kaatje, Cornelissen, Véronique, Kuznetsova, Tatiana |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10297339/ https://www.ncbi.nlm.nih.gov/pubmed/37370946 http://dx.doi.org/10.3390/diagnostics13122051 |
Ejemplares similares
-
Improving predictive performance in incident heart failure using machine learning and multi-center data
por: Sabovčik, František, et al.
Publicado: (2022) -
Accuracy of Apple Watch Measurements for Heart Rate and Energy Expenditure in Patients With Cardiovascular Disease: Cross-Sectional Study
por: Falter, Maarten, et al.
Publicado: (2019) -
Home-Based Rehabilitation With Telemonitoring Guidance for Patients With Coronary Artery Disease (Short-Term Results of the TRiCH Study): Randomized Controlled Trial
por: Avila, Andrea, et al.
Publicado: (2018) -
Evaluation of diastole by echocardiography for detecting early cardiac dysfunction: an outcome study
por: Kuznetsova, Tatiana, et al.
Publicado: (2022) -
Proteomic profiling for detection of early‐stage heart failure in the community
por: Cauwenberghs, Nicholas, et al.
Publicado: (2021)