Published on in Vol 5 , No 4 (2022) :Oct-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/38464, first published .
Evolving Hybrid Partial Genetic Algorithm Classification Model for Cost-effective Frailty Screening: Investigative Study

Evolving Hybrid Partial Genetic Algorithm Classification Model for Cost-effective Frailty Screening: Investigative Study

Evolving Hybrid Partial Genetic Algorithm Classification Model for Cost-effective Frailty Screening: Investigative Study

John Oates 1 * , PhD ;   Niusha Shafiabady 2 * , BEng (Hon), MSc, PhD ;   Rachel Ambagtsheer 3 , PhD ;   Justin Beilby 3 , MD, PhD ;   Chris Seiboth 4 , BA ;   Elsa Dent 3 , PhD

1 Torrens University , Ultimo , AU

2 College of Engineering, Information Technology and Environment , Charles Darwin University , Haymarket, NSW , AU

3 Torrens University , Adelaide , AU

4 Lutheran Services , Milton , AU

*these authors contributed equally

Corresponding Author:

  • Niusha Shafiabady, BEng (Hon), MSc, PhD
  • College of Engineering, Information Technology and Environment
  • Charles Darwin University
  • 815 George Street
  • Haymarket, NSW
  • AU
  • Phone: 61 80474147
  • Email: niusha.shafiabady@cdu.edu.au