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Recommendation of Personalized Surveillance Interval of Colonoscopy via Survival Analysis
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 Title & Authors
Recommendation of Personalized Surveillance Interval of Colonoscopy via Survival Analysis
Gu, Jayeon; Kim, Eun Sun; Kim, Seoung Bum;
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 Abstract
A colonoscopy is important because it detects the presence of polyps in the colon that can lead to colon cancer. How often one needs to repeat a colonoscopy may depend on various factors. The main purpose of this study is to determine personalized surveillance interval of colonoscopy based on characteristics of patients including their clinical information. The clustering analysis using a partitioning around medoids algorithm was conducted on 625 patients who had a medical examination at Korea University Anam Hospital and found several subgroups of patients. For each cluster, we then performed survival analysis that provides the probability of having polyps according to the number of days until next visit. The results of survival analysis indicated that different survival distributions exist among different patients` groups. We believe that the procedure proposed in this study can provide the patients with personalized medical information about how often they need to repeat a colonoscopy.
 Keywords
Surveillance Interval;Survival Analysis;Patients Clustering;Kaplan-Meier Estimator;Log-Rank Test;Decision Tree;Colonoscopy;
 Language
Korean
 Cited by
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