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A Machine Learning Approach to the Interpretation of Cardiopulmonary Exercise Tests: Development and Validation
OBJECTIVE: At present, there is no consensus on the best strategy for interpreting the cardiopulmonary exercise test's (CPET) results. This study is aimed at assessing the potential of using computer-aided algorithms to evaluate CPET data for identifying chronic heart failure (CHF) and chronic...
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| Veröffentlicht in: | Pulm Med |
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| Hauptverfasser: | , , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Hindawi
2021
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8188599/ https://ncbi.nlm.nih.gov/pubmed/34158976 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2021/5516248 |
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