Identifying the factors most strongly associated to breathlessness in the general population: an evaluation of 465 different factors using machine learning.
Olsson, Max LU
and Ekström, Magnus
LU
(2023)
European Respiratory Society (ERS) International Congress
In European Respiratory Journal
62(Suppl 67).
p.5351-5351
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/0d154569-0362-4fd1-95c9-d0aed5f1bbdf
- author
- Olsson, Max
LU
and Ekström, Magnus
LU
- organization
- publishing date
- 2023-09-09
- type
- Contribution to journal
- publication status
- published
- subject
- in
- European Respiratory Journal
- volume
- 62
- issue
- Suppl 67
- pages
- 5351 - 5351
- publisher
- European Respiratory Society
- conference name
- European Respiratory Society (ERS) International Congress
- conference location
- Milano, Italy
- conference dates
- 2023-09-09 - 2023-09-13
- ISSN
- 1399-3003
- DOI
- 10.1183/13993003.congress-2023.PA5351
- project
- AIR Lund - Artificially Intelligent use of Registers
- language
- English
- LU publication?
- yes
- id
- 0d154569-0362-4fd1-95c9-d0aed5f1bbdf
- date added to LUP
- 2023-11-06 10:44:42
- date last changed
- 2023-11-07 07:46:02
@misc{0d154569-0362-4fd1-95c9-d0aed5f1bbdf,
author = {{Olsson, Max and Ekström, Magnus}},
issn = {{1399-3003}},
language = {{eng}},
month = {{09}},
note = {{Conference Abstract}},
number = {{Suppl 67}},
pages = {{5351--5351}},
publisher = {{European Respiratory Society}},
series = {{European Respiratory Journal}},
title = {{Identifying the factors most strongly associated to breathlessness in the general population: an evaluation of 465 different factors using machine learning.}},
url = {{http://dx.doi.org/10.1183/13993003.congress-2023.PA5351}},
doi = {{10.1183/13993003.congress-2023.PA5351}},
volume = {{62}},
year = {{2023}},
}