Using Machine Learning to Identify Organ System Specific Limitations to Exercise Via Cardiopulmonary Exercise Testing

dc.contributor.author

Portella, Julio J

dc.contributor.author

Andonian, Brian J

dc.contributor.author

Brown, Donald E

dc.contributor.author

Mansur, Joao

dc.contributor.author

Wales, Derek

dc.contributor.author

West, Vivian L

dc.contributor.author

Kraus, William E

dc.contributor.author

Hammond, William Ed

dc.date.accessioned

2022-04-15T17:11:14Z

dc.date.available

2022-04-15T17:11:14Z

dc.date.issued

2022

dc.date.updated

2022-04-15T17:11:12Z

dc.identifier.issn

2168-2194

dc.identifier.issn

2168-2208

dc.identifier.uri

https://hdl.handle.net/10161/24829

dc.publisher

Institute of Electrical and Electronics Engineers (IEEE)

dc.relation.ispartof

IEEE Journal of Biomedical and Health Informatics

dc.relation.isversionof

10.1109/jbhi.2022.3163402

dc.title

Using Machine Learning to Identify Organ System Specific Limitations to Exercise Via Cardiopulmonary Exercise Testing

dc.type

Journal article

duke.contributor.orcid

Andonian, Brian J|0000-0003-1847-0660

duke.contributor.orcid

Kraus, William E|0000-0003-1930-9684

duke.contributor.orcid

Hammond, William Ed|0000-0003-2395-7676

pubs.begin-page

1

pubs.end-page

1

pubs.organisational-group

Duke

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Staff

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