The use of machine learning for the identification of peripheral artery disease and future mortality risk Academic Article uri icon

Overview

MeSH Major

  • Decision Support Techniques
  • Machine Learning
  • Peripheral Arterial Disease

abstract

  • Machine learning approaches can produce more accurate disease classification and prediction models. These tools may prove clinically useful for the automated identification of patients with highly morbid diseases for which aggressive risk factor management can improve outcomes.

publication date

  • November 2016

Research

keywords

  • Academic Article

Identity

Language

  • eng

PubMed Central ID

  • PMC5079774

Digital Object Identifier (DOI)

  • 10.1016/j.jvs.2016.04.026

PubMed ID

  • 27266594

Additional Document Info

start page

  • 1515

end page

  • 1522.e3

volume

  • 64

number

  • 5