Skip to main content
Book Chapter

Artificial Intelligence and Data Mining Methods for Cardiovascular Risk Prediction

  • Georga E
  • Tachos N
  • Sakellarios A
  • et al.
DOI: 10.1007/978-981-10-5092-3_14
N/ACitations
Citations of this article
32Readers
Mendeley users who have this article in their library.
Get full text

Abstract

This chapter describes the state-of-the-art in artificial intelligence and machine learning methods for cardiovascular disease diagnosis and prognosis, focusing on Coronary Artery Disease (CAD). We aim at providing a cohesive overview of the existing methodologies in …

Cite

CITATION STYLE

APA

Georga, E. I., Tachos, N. S., Sakellarios, A. I., Kigka, V. I., Exarchos, T. P., Pelosi, G., … Fotiadis, D. I. (2019). Artificial Intelligence and Data Mining Methods for Cardiovascular Risk Prediction (pp. 279–301). https://doi.org/10.1007/978-981-10-5092-3_14

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free