CardioNet: a manually curated database for artificial intelligence-based research on cardiovascular diseases

CardioNet: a manually curated database for artificial intelligence-based research on cardiovascular diseases

Abstract Background Cardiovascular diseases (CVDs) are difficult to diagnose early and have risk factors that are easy to overlook. Early prediction and personalization of treatment through the use of artificial intelligence (AI) may help clinicians and patients manage CVDs more effectively. However...

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Bibliographic Details
Main Authors: Imjin Ahn, Wonjun Na, Osung Kwon, Dong Hyun Yang, Gyung-Min Park, Hansle Gwon, Hee Jun Kang, Yeon Uk Jeong, Jungsun Yoo, Yunha Kim, Tae Joon Jun, Young-Hak Kim
Format: Article
Language:English
Published: BMC 2021-01-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Cardiovascular diseases
Database
Artificial intelligence
Electronic health records
Online Access:https://doi.org/10.1186/s12911-021-01392-2

Internet

https://doi.org/10.1186/s12911-021-01392-2

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