Big Data, Big Insights: Leveraging Data Analytics to Unravel Cardiovascular Exposome Complexities

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dc.citation.issueNumber5en_US
dc.citation.journalTitleMethodist DeBakey Cardiovascular Jen_US
dc.citation.volumeNumber20en_US
dc.contributor.authorIbrahim, Ramzien_US
dc.contributor.authorPham, Hoang Nhaten_US
dc.contributor.authorNasir, Khurramen_US
dc.contributor.authorHahad, Omaren_US
dc.contributor.authorSabharwal, Ashutoshen_US
dc.contributor.authorAl-Kindi, Sadeeren_US
dc.date.accessioned2025-01-09T20:16:56Zen_US
dc.date.available2025-01-09T20:16:56Zen_US
dc.date.issued2024en_US
dc.description.abstractThe exposome encompasses the full range of environmental exposures throughout a person’s lifetime and plays an important role in cardiovascular health. Interactions with the social, natural, and built components of the exposome significantly impact cardiovascular disease prevalence and mortality. Robust data analytics, including machine learning and geospatial analysis, have advanced our understanding of how these factors converge to influence cardiovascular disease risk. The integration of multiomics platforms and advanced computational approaches enhances our ability to characterize the exposome, leading to targeted public health interventions and innovative risk reduction strategies aimed at improving cardiovascular health globally. These multiomics platforms that integrate factors such as genomics, epigenomics, clinical data, social factors, environmental factors, and wearable technology will characterize the exposome in greater detail concerning cardiovascular health. In this review, we aimed to elucidate the components of the exposome and discuss recent literature regarding their relationship to cardiovascular health.en_US
dc.identifier.citationIbrahim, R., Pham, H. N., Nasir, K., Hahad, O., Sabharwal, A., & Al-Kindi, S. (2024). Big Data, Big Insights: Leveraging Data Analytics to Unravel Cardiovascular Exposome Complexities. Methodist DeBakey Cardiovascular J, 20(5). https://doi.org/10.14797/mdcvj.1467en_US
dc.identifier.digital6729fa264334fen_US
dc.identifier.doihttps://doi.org/10.14797/mdcvj.1467en_US
dc.identifier.urihttps://hdl.handle.net/1911/118097en_US
dc.language.isoengen_US
dc.publisherHouston Methodist DeBakey Heart & Vascular Centeren_US
dc.rightsExcept where otherwise noted, this work is licensed under a Creative Commons Attribution-NonCommercial (CC BY-NC) license. Permission to reuse, publish, or reproduce the work beyond the terms of the license or beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.en_US
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/en_US
dc.subject.keywordexposomeen_US
dc.subject.keywordelectronic health dataen_US
dc.subject.keywordbig dataen_US
dc.titleBig Data, Big Insights: Leveraging Data Analytics to Unravel Cardiovascular Exposome Complexitiesen_US
dc.typeJournal articleen_US
dc.type.dcmiTexten_US
dc.type.publicationpublisher versionen_US
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