PARAMETER ESTIMATION to AN ANEMIA MODEL USING the PARTICLE SWARM OPTIMIZATION

Arshed A. Ahmad, Murat Sari*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

The aim of this study is to predict anemia from a population through biomedical variables by using the optimum linear model. A linear medical model based on biomedical variables is produced and an effective technique is used in investigating the optimum parameters of the model. To achieve this, the particle swarm optimization (PSO) algorithm have effectively been applied in predicting the parameters of the model through the biomedical variables. The study is conducted in terms of data set consisting of 539 subjects provided from blood laboratories. Optimum values of the parameters produced from the PSO algorithm are used here to obtain the more realistic model. The model based on the variables and outcomes is expected to serve as a good indicator of disease diagnosis for health providers and planning treatment schedules for their patients. Thus, the article is believed to be beneficial especially for who are interested in biomedical models arising in various fields of medical science, especially anemia.

Original languageEnglish
Pages (from-to)1335-1347
Number of pages13
JournalSigma Journal of Engineering and Natural Sciences
Volume37
Issue number4
Publication statusPublished - 2019
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2019 Yildiz Technical University. All Rights Reserved.

Keywords

  • Anemia
  • linear model
  • medical model
  • particle swarm optimization

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