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Clustering Algorithm for the Connected Model of Repeated Measurements and Survival Data- Application to HIV Study

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  • Hessah Alzahrani

    (Mathematics Department, College of Applied Sciences, Umm AlQura University, Saudi Arabia)

Abstract

Cluster analysis is dividing the individuals into clusters or groups. This job is valuable and helpful to provide facts and information about individuals. Here in this paper, we proposed the cluster analysis for a special model. It is the connected model for repeated measures called longitudinal and survival for individuals or patients. The statistical analysis of the connected model from the longitudinal and survival datasets has become popular recently because it comes together in many medical applications.

Suggested Citation

  • Hessah Alzahrani, 2024. "Clustering Algorithm for the Connected Model of Repeated Measurements and Survival Data- Application to HIV Study," Biomedical Journal of Scientific & Technical Research, Biomedical Research Network+, LLC, vol. 55(1), pages 46681-46686, February.
    • Handle: RePEc:abf:journl:v:55:y:2024:i:1:p:46681-46686
    DOI: 10.26717/BJSTR.2024.55.008657
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