Journal
PLoS One
Publication Date
1-1-2023
Volume
18
Issue
11
First Page
e0294050
Document Type
Open Access Publication
DOI
10.1371/journal.pone.0294050
Rights and Permissions
Morris MC, Moradi H, Aslani M, Sims M, Schlundt D, Kouros CD, Goodin B, Lim C, Kinney K. Predicting incident cardiovascular disease among African-American adults: A deep learning approach to evaluate social determinants of health in the Jackson heart study. PLoS One. 2023 Nov 10;18(11):e0294050. doi: 10.1371/journal.pone.0294050. © 2023 Morris et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Recommended Citation
Morris, Matthew C.; Moradi, Hamidreza; Aslani, Maryam; Sims, Mario; Schlundt, David; Kouros, Chrystyna D.; Goodin, Burel; Lim, Crystal; and Kinney, Kerry, "Predicting incident cardiovascular disease among African-American adults: A deep learning approach to evaluate social determinants of health in the Jackson Heart Study." PLoS One. 18, 11. e0294050 (2023).
https://digitalcommons.wustl.edu/oa_4/2723
Additional Links
Supplemental material is available for this article at publisher site.
