Machine Learning for Proteomic Risk Scores in Heart Failure
J Card Fail
.
2023 Nov;29(11):1583-1585.
doi: 10.1016/j.cardfail.2023.08.023.
Epub 2023 Sep 16.
Authors
Dongchu Xu
1
,
Jonathan Cunningham
1
,
Pablo-Miki Marti-Castellote
1
,
Luqing Zhang
2
,
Natasha L Patel-Murray
2
,
Margaret F Prescott
3
,
William Chutkow
2
,
Michael M Mendelson
2
,
Scott D Solomon
4
,
Brian L Claggett
1
Affiliations
1
Cardiovascular Division, Brigham and Women's Hospital, Boston, MA.
2
Novartis Institutes for Biomedical Research, Cambridge, MA.
3
Novartis, East Hanover, NJ.
4
Cardiovascular Division, Brigham and Women's Hospital, Boston, MA. Electronic address: ssolomon@rics.bwh.harvard.edu.
PMID:
37722615
DOI:
10.1016/j.cardfail.2023.08.023
No abstract available
Publication types
Letter
Research Support, Non-U.S. Gov't
MeSH terms
Heart Failure* / diagnosis
Humans
Machine Learning
Proteomics
Risk Factors