AESurv: autoencoder survival analysis for accurate early prediction of coronary heart disease

Shen, Y., Domingo-Relloso, A., Kupsco, A., Kioumourtzoglou, M.-A., Tellez-Plaza, M., Umans, J. G., Fretts, A. M., Zhang, Y., Schnatz, P. F., Casanova, R., Martin, L. W., Horvath, S., Manson, J. E., Cole, S. A., Wu, H., Whitsel, E. A., Baccarelli, A. A., Navas-Acien, A., & Gao, F. (2024). AESurv: autoencoder survival analysis for accurate early prediction of coronary heart disease. Briefings in Bioinformatics, 25(6). https://doi.org/10.1093/bib/bbae479
Authors:
Yike Shen
Arce Domingo-Relloso
Allison Kupsco
Marianthi-Anna Kioumourtzoglou
Maria Tellez-Plaza
Jason G Umans
Amanda M Fretts
Ying Zhang
Peter F Schnatz
Ramon Casanova
Lisa Warsinger Martin
Steve Horvath
JoAnn E Manson
Shelley A Cole
Haotian Wu
Eric A Whitsel
Andrea A Baccarelli
Ana Navas-Acien
Feng Gao
Affiliated Authors:
Yike Shen
Arce Domingo-Relloso
Allison Kupsco
Marianthi-Anna Kioumourtzoglou
Haotian Wu
Andrea A Baccarelli
Ana Navas-Acien
Subjects:
Author Keywords:
autoencoder survival analysis
cohort studies
coronary heart disease
deep learning
epigenetics
Publication Type:
Article
Unique ID:
10.1093/bib/bbae479
PMID:
Publication Date:
Data Source:
PubMed

Record Created: