Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Editorial
. 2023 Nov 18;5(1):6-8.
doi: 10.1093/ehjdh/ztad068. eCollection 2024 Jan.

From data to wisdom: harnessing the power of multimodal approach for personalized atherosclerotic cardiovascular risk assessment

Sadeer Al-Kindi  1 , Khurram Nasir  1
Affiliations
Editorial

From data to wisdom: harnessing the power of multimodal approach for personalized atherosclerotic cardiovascular risk assessment

Sadeer Al-Kindi et al. Eur Heart J Digit Health. .
No abstract available

PubMed Disclaimer

Conflict of interest statement

Conflict of interest: K.N.: Advisory board of Nova Nordisk, Novartis, Esperion. Speaker Bureau Amgen. The research is partly supported by grants from NIH, Novartis, Esperion, and Jerold B. Katz Academy of Translational Research. S.A.-K. has no disclosures.

Figures

Figure 1
Figure 1
Multimodal computational platforms for precision prediction of cardiovascular risk across the knowledge continuum.
See this image and copyright information in PMC

Comment in

References

    1. Nasir K, Javed Z, Khan SU, Jones SL, Andrieni J. Big data and digital solutions: laying the foundation for cardiovascular population management CME. Methodist DeBakey Cardiovasc J 2020;16:272–282. - PMC - PubMed
    1. Damen JAAG, Hooft L, Schuit E, Debray TP, Collins GS, Tzoulaki I, et al. Prediction models for cardiovascular disease risk in the general population: systematic review. BMJ 2016;353:i2416. - PMC - PubMed
    1. Nasir K, DeFilippis A. Big data and ASCVD risk prediction: building a better mouse trap? J Am Coll Cardiol 2022;79:1167–1169. - PubMed
    1. Li C, Liu X, Shen P, Sun Y, Zhou T, Chen W, et al. Improving cardiovascular risk prediction through machine learning modelling of irregularly repeated electronic health records. Eur Heart J Digit Health 2024;5:30–40. - PMC - PubMed
    1. Turchioe MR, Volodarskiy A, Pathak J, Wright DN, Tcheng JE, Slotwiner D. Systematic review of current natural language processing methods and applications in cardiology. Heart 2022;108:909–916. - PMC - PubMed

Publication types

LinkOut - more resources