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Journals / Communications Faculty of Sciences University of Ankara Series A1 Mathematics and Statistics / 2026 / Volume: 70 Issue: 1

Medical model estimation with particle swarm optimization

Murat Sarı(Yildiz Technical University)0000-0003-0508-2917
Arshed Ahmad(Yildiz Technical University)0000-0003-1393-1253
Hande Uslu(Yildiz Technical University)0000-0002-1642-1120
Pages
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Publication Date
2021-06-30
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

It is therefore strongly believed that the article will be particularly useful for those interested in emerging biomedical models in various medical modelling areas such as infectious and hematological diseases such as anemia.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In this paper, a nonlinear medical model based on observational variables has been produced and the particle swarm optimization (PSO) technique, which is an effective technique to predict optimum parameters of the biomedical model, has been used.
📊
Key Findings & Data:This study has been conducted on a dataset consisting of 539 subjects.
💡
Conclusion & Impact:It is therefore strongly believed that the article will be particularly useful for those interested in emerging biomedical models in various medical modelling areas such as infectious and hematological diseases such as anemia.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Anemia · medical modelling · nonlinear model

Abstract

In this paper, a nonlinear medical model based on observational variables has been produced and the particle swarm optimization (PSO) technique, which is an effective technique to predict optimum parameters of the biomedical model, has been used. This study has been conducted on a dataset consisting of 539 subjects. For comparison purposes, nonlinear regression analysis, nonlinear deep learning, and nonlinear regression neural network methods are also considered and the PSO results appear to be slightly better than that of other methods. Built on observational variables and findings, the model is expected to be a good guide for healthcare professionals in diagnosing pathologies and planning treatment programs for their patients. It is therefore strongly believed that the article will be particularly useful for those interested in emerging biomedical models in various medical modelling areas such as infectious and hematological diseases such as anemia.

🔖

Cite This Article

Sarı, M., Ahmad, A., Uslu, H. (2021). Medical model estimation with particle swarm optimization. Communications Faculty of Sciences University of Ankara Series A1 Mathematics and Statistics, Volume: 70 Issue: 1. https://doi.org/10.31801/cfsuasmas.644071

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