This paper is in the following e-collection/theme issue:

Frailty Detection, Assessment and Prediction (62) Machine Learning (2076) Artificial Intelligence (2129) Decision Support for Health Professionals (1539) Ontologies, Classifications, and Coding (324) Tools, Programs and Algorithms (376) Clinical Information and Decision Making (1915)

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

Authors of this article:

John Oates1 Author Orcid Image ;   Niusha Shafiabady2 Author Orcid Image ;   Rachel Ambagtsheer3 Author Orcid Image ;   Justin Beilby3 Author Orcid Image ;   Chris Seiboth4 Author Orcid Image ;   Elsa Dent3 Author Orcid Image
Article Authors Cited by (8) Tweetations (6) Metrics

Journals

  1. Heyl J, Hardy F, Tucker K, Hopper A, Marchã M, Navaratnam A, Briggs T, Yates J, Day J, Wheeler A, Eve-Jones S, Gray W. Frailty, Comorbidity, and Associations With In-Hospital Mortality in Older COVID-19 Patients: Exploratory Study of Administrative Data. Interactive Journal of Medical Research 2022;11(2):e41520 View
  2. Shafiabady N, Hadjinicolaou N, Din F, Bhandari B, Wu R, Vakilian J, V. E. S. Using Artificial Intelligence (AI) to predict organizational agility. PLOS ONE 2023;18(5):e0283066 View
  3. Leghissa M, Carrera Á, Iglesias C. Machine learning approaches for frailty detection, prediction and classification in elderly people: A systematic review. International Journal of Medical Informatics 2023;178:105172 View
  4. Sriraman G, R. S. A machine learning approach to predict DevOps readiness and adaptation in a heterogeneous IT environment. Frontiers in Computer Science 2023;5 View
  5. Bai C, Mardini M. Advances of artificial intelligence in predicting frailty using real-world data: A scoping review. Ageing Research Reviews 2024;101:102529 View
  6. Wang I. From Code to Care and Digital Detection of Frailty: A Scoping Review of electronic Frailty Index (eFI) Applications Using Electronic Health Records. Journal of Clinical Medical Research 2025 View
  7. Bai C, Xiao F, Al-Ani M, Price C, Manini T, Mardini M. External validation of an AI-based preoperative frailty index using real-world data. The Journals of Gerontology, Series A: Biological Sciences and Medical Sciences 2025;80(11) View
  8. Dent E, Hanlon P, Kowal P, Hoogendijk E. Frailty measurement in research and clinical practice: An updated review. European Journal of Internal Medicine 2025:106595 View