Literature DB >> 14718408

Exercise for fun and profit: joint statement on exercise by the American Thoracic Society and the American College of Chest Physicians.

Charles G Irvin, David A Kaminsky.   

Abstract

Mesh:

Year:  2004        PMID: 14718408     DOI: 10.1378/chest.125.1.1

Source DB:  PubMed          Journal:  Chest        ISSN: 0012-3692            Impact factor:   9.410


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  3 in total

1.  Neural network methods for diagnosing patient conditions from cardiopulmonary exercise testing data.

Authors:  Donald E Brown; Suchetha Sharma; James A Jablonski; Arthur Weltman
Journal:  BioData Min       Date:  2022-08-13       Impact factor: 4.079

2.  A Machine Learning Approach to the Interpretation of Cardiopulmonary Exercise Tests: Development and Validation.

Authors:  Or Inbar; Omri Inbar; Ronen Reuveny; Michael J Segel; Hayit Greenspan; Mickey Scheinowitz
Journal:  Pulm Med       Date:  2021-05-31

3.  Software for interpreting cardiopulmonary exercise tests.

Authors:  Robert M Ross; David B Corry
Journal:  BMC Pulm Med       Date:  2007-10-23       Impact factor: 3.317

  3 in total

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