A linear regression-based machine learning pipeline for the discovery of clinically relevant correlates of gait speed reserve from multiple physiological systems.
Please log in to take part in the discussion (add own reviews or comments).
Cite this publication
More citation styles
- please select -
%0 Conference Paper
%1 conf/eusipco/DavisKRDKR21
%A Davis, James
%A Knight, Silvin P.
%A Rizzo, Rossella
%A Donoghue, Orna A.
%A Kenny, Rose-Anne
%A Romero-Ortuno, Roman
%B EUSIPCO
%D 2021
%I IEEE
%K dblp
%P 1266-1270
%T A linear regression-based machine learning pipeline for the discovery of clinically relevant correlates of gait speed reserve from multiple physiological systems.
%U http://dblp.uni-trier.de/db/conf/eusipco/eusipco2021.html#DavisKRDKR21
%@ 978-9-0827-9706-0
@inproceedings{conf/eusipco/DavisKRDKR21,
added-at = {2021-12-15T00:00:00.000+0100},
author = {Davis, James and Knight, Silvin P. and Rizzo, Rossella and Donoghue, Orna A. and Kenny, Rose-Anne and Romero-Ortuno, Roman},
biburl = {https://www.bibsonomy.org/bibtex/2f3970acf55866620777f8f395fa97531/dblp},
booktitle = {EUSIPCO},
crossref = {conf/eusipco/2021},
ee = {https://doi.org/10.23919/EUSIPCO54536.2021.9616187},
interhash = {35f56be81662c29f644b1a0d3ee2ad40},
intrahash = {f3970acf55866620777f8f395fa97531},
isbn = {978-9-0827-9706-0},
keywords = {dblp},
pages = {1266-1270},
publisher = {IEEE},
timestamp = {2024-04-10T02:28:29.000+0200},
title = {A linear regression-based machine learning pipeline for the discovery of clinically relevant correlates of gait speed reserve from multiple physiological systems.},
url = {http://dblp.uni-trier.de/db/conf/eusipco/eusipco2021.html#DavisKRDKR21},
year = 2021
}
