Cardiovascular informatics: building a bridge to data harmony.

ABSTRACT: The search for new strategies for better understanding cardiovascular (CV) disease is a constant one, spanning multitudinous types of observations and studies. A comprehensive characterization of each disease state and its biomolecular underpinnings relies upon insights gleaned from extensive information collection of various types of data. Researchers and clinicians in CV biomedicine repeatedly face questions regarding which types of data may best answer their questions, how to integrate information from multiple datasets of various types, and how to adapt emerging advances in machine learning and/or artificial intelligence to their needs in data processing. Frequently lauded as a field with great practical and translational potential, the interface between biomedical informatics and CV m

SUBMITTER: Caufield JH 

PROVIDER: S-EPMC9020200 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature