Polygenic Risk Score for Cardiovascular Diseases in Artificial Intelligence Paradigm

Khanna Narendra N and Singh Manasvi and Maindarkar Mahesh and Kumar Ashish and Johri Amer M and Mentella Laura and Laird John R and Paraskevas Kosmas I. and Ruzsa Zoltán and Singh Narpinder and Kalra Mannudeep K. and Fernandes Jose Fernandes E. and Chaturvedi Seemant and Nicolaides Andrew and Rathore Vijay and et al.: Polygenic Risk Score for Cardiovascular Diseases in Artificial Intelligence Paradigm.
JOURNAL OF KOREAN MEDICAL SCIENCE, 38 (46). ISSN 1011-8934 (2023)

[thumbnail of khanna.pdf] Text
khanna.pdf - Published Version

Download (5MB)
Item Type: Journal Article
Szerzők száma: 24
Journal or Publication Title: JOURNAL OF KOREAN MEDICAL SCIENCE
Date: 2023
Volume: 38
Number: 46
Number of Pages: 32
Publication identifier: e395
ISSN: 1011-8934
Faculty/Unit: Albert Szent-Györgyi Medical School
Institution: Szegedi Tudományegyetem
Language: English
MTMT rekordazonosító: 34434614
DOI azonosító: https://doi.org/10.3346/jkms.2023.38.e395
Date Deposited: 2023. Dec. 15. 10:13
Last Modified: 2023. Dec. 15. 10:13
URI: http://publicatio.bibl.u-szeged.hu/id/eprint/29095
Web of Science® Times Cited: 2 View citing articles in Web of Science®

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year