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 obstr...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-01-01
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| Series: | Pulmonary Medicine |
| Online Access: | http://dx.doi.org/10.1155/2021/5516248 |
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