Related Experiment Video
Updated: Feb 23, 2026
Measurement & Analysis of the Temporal Discrimination Threshold Applied to Cervical Dystonia
Published on: January 27, 2018
Providing an imputation algorithm for missing values of longitudinal data using Cuckoo search algorithm: A case study
Amin Golabpour1, Kobra Etminani2, Hassan Doosti3
1M.Sc., Department of Biomedical Informatics, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Background:
Missing values in data are found in a large number of studies in the field of medical sciences, especially longitudinal ones, in which repeated measurements are taken from each person during the study. In this regard, several statistical endeavors have been performed on the concepts, issues, and theoretical methods during the past few decades.
Methods:
Herein, we focused on the missing data related to patients excluded from longitudinal studies. To this end, two statistical parameters of similarity and correlation coefficient were employed. In addition, metaheuristic algorithms were applied to achieve an optimal solution. The selected metaheuristic algorithm, which has a great search functionality, was the Cuckoo search algorithm.
Results:
Profiles of subjects with cervical dystonia (CD) were used to evaluate the proposed model after applying missingness. It was concluded that the algorithm used in this study had a higher accuracy (98.48%), compared with similar approaches.
Conclusion:
Concomitant use of similar parameters and correlation coefficients led to a significant increase in accuracy of missing data imputation.
Related Concept Videos
01:09Censoring Survival Data
01:29Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
01:24One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation
On...
01:09Truncation in Survival Analysis
Left truncation occurs when individuals who experienced the event of interest before a certain time are not included in the study. This is often due to a "delayed entry" into the study where only those who survive until a certain entry point are...