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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 obstr...

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Principais autores: Or Inbar, Omri Inbar, Ronen Reuveny, Michael J. Segel, Hayit Greenspan, Mickey Scheinowitz
格式: Artigo
語言:Inglês
出版: Wiley 2021-01-01
叢編:Pulmonary Medicine
在線閱讀:http://dx.doi.org/10.1155/2021/5516248
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