Leveraging Geospatial Data Science to Uncover Novel Environmental Predictors of Cardiovascular Disease

Sadeer Al-Kindi

doi:10.1016/j.jacadv.2023.100371

Leveraging Geospatial Data Science to Uncover Novel Environmental Predictors of Cardiovascular Disease

Research output: Contribution to journal › Editorial › peer-review

Original language	English (US)
Article number	100371
Journal	JACC: Advances
Volume	2
Issue number	4
DOIs	https://doi.org/10.1016/j.jacadv.2023.100371
State	Published - Jun 2023

Keywords

cardiovascular disease
environment
prediction

ASJC Scopus subject areas

Cardiology and Cardiovascular Medicine
Dentistry (miscellaneous)

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10.1016/j.jacadv.2023.100371

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@article{b32ba85bf3ab4ea0801973fe805c578e,

title = "Leveraging Geospatial Data Science to Uncover Novel Environmental Predictors of Cardiovascular Disease",

keywords = "cardiovascular disease, environment, prediction",

author = "Sadeer Al-Kindi",

year = "2023",

month = jun,

doi = "10.1016/j.jacadv.2023.100371",

language = "English (US)",

volume = "2",

journal = "JACC: Advances",

issn = "2772-963X",

number = "4",

}

TY - JOUR

T1 - Leveraging Geospatial Data Science to Uncover Novel Environmental Predictors of Cardiovascular Disease

AU - Al-Kindi, Sadeer

PY - 2023/6

Y1 - 2023/6

KW - cardiovascular disease

KW - environment

KW - prediction

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U2 - 10.1016/j.jacadv.2023.100371

DO - 10.1016/j.jacadv.2023.100371

M3 - Editorial

AN - SCOPUS:85180222015

SN - 2772-963X

VL - 2

JO - JACC: Advances

JF - JACC: Advances

IS - 4

M1 - 100371

ER -

Leveraging Geospatial Data Science to Uncover Novel Environmental Predictors of Cardiovascular Disease

Keywords

ASJC Scopus subject areas

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