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Journal article

Artificial intelligence–derived risk prediction: a novel risk calculator using office and ambulatory blood pressure

Abstract:

BACKGROUND: Quantification of total cardiovascular risk is essential for individualizing hypertension treatment. This study aimed to develop and validate a novel, machine-learning–derived model to predict cardiovascular mortality risk using office blood pressure (OBP) and ambulatory blood pressure (ABP).

METHODS: The performance of the novel risk score was compared with existing risk scores, and the possibility of predicting ABP phen...

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Publication status:
Published
Peer review status:
Peer reviewed

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Role:
Author
ORCID:
0000-0002-9465-4413
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Role:
Author
ORCID:
0000-0002-5361-0895
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Role:
Author
ORCID:
0000-0003-1434-9556
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Role:
Author
ORCID:
0000-0003-1967-2918
Publisher:
American Heart Association
Journal:
Hypertension More from this journal
Publication date:
2024-04-25
Acceptance date:
2024-04-07
DOI:
EISSN:
1524-4563
ISSN:
0194-911X
Pmid:
38660828
Language:
English
Keywords:
Pubs id:
1992313
Local pid:
pubs:1992313
Deposit date:
2024-07-04

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