Machine learning models for the automatic detection of exercise thresholds in cardiopulmonary exercisingtests: from regression to generation to explanation

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  • who: Andrea Zignoli from the (UNIVERSITY) have published the research work: Machine Learning Models for the Automatic Detection of Exercise Thresholds in Cardiopulmonary ExercisingTests: From Regression to Generation to Explanation, in the Journal: Sensors 2023, 826 of /2023/
  • what: With the aim to increase their technology-readiness level all the models discussed in this contribution have been incorporated into a free-to-use Python package called pyoxynet (ver. The aim of this manuscript is to introduce and discuss the three great challenges in machine_learning applied to CPET (regression, generation, and explanation) and to present the . . .

     

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