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

Hessah Alzahrani
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Hessah Alzahrani: Mathematics Department, College of Applied Sciences, Umm AlQura University, Saudi Arabia

Biomedical Journal of Scientific & Technical Research, 2024, vol. 55, issue 1, 46681-46686

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.

Keywords: Journals on Medical Drug and Therapeutics; Journals on Emergency Medicine; Physical Medicine and Rehabilitation; Journals on Infectious Diseases Addiction Science and Clinical Pathology; Open Access Clinical and Medical Journal; Journals on Biomedical Science; List of Open Access Medical Journal; Journals on Biomedical Engineering; Open Access Medical Journal; Biomedical Science Articles; Journal of Scientific and Technical Research (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:abf:journl:v:55:y:2024:i:1:p:46681-46686

DOI: 10.26717/BJSTR.2024.55.008657

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