Putrie, Andi Vania Ghalliyah and Azzahra, Lutfiani and Kurniawan, Ardi and Saifudin, Toha (2025) Survival analysis in heart failure patient using the Kaplan Meier methods. World Journal of Advanced Research and Reviews, 25 (1). pp. 1540-1546. ISSN 25819615
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Abstract
Heart failure is one of the biggest health problems worldwide, causing increased mortality, morbidity, and financial problems, especially in elderly patients. Survival analysis is a collection of statistical methods used to answer questions relating to whether and when an event occurs. The Kaplan-Meier method is a nonparametric estimation method in survival functions that is commonly used to describe the survival of a population or compare the survival of two or more populations. This study aims to estimate the survival of a patient with heart failure. The data for this study was obtained from the BMC Chicco and Jurman Medical Informatics and Decision Making website in 2020. The data consisted of medical records of 299 patients diagnosed with heart failure during the follow-up period of the study. Based on the results of the analysis, it was found that the results of the calculation of the product limit estimator or Kaplan-Meier and the survival plot of Heart Failure patients who survived for 4 days had a greater chance of survival than Heart Failure patients who survived for 285 days. In addition, based on the analysis, heart failure patients with male gender have a higher estimated average survival than heart failure patients with female gender. This cannot escape the influence of various factors. Therefore, this study is expected to help develop more effective treatment strategies and provide more accurate predictions regarding the prognosis of Heart Failure patients.
Item Type: | Article |
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Uncontrolled Keywords: | Censored Data; Heart Failure Patients; Kaplan-Meier Method; Length of Life Data; Survival Analysis; Survival Function |
Subjects: | Q Science > Q Science (General) R Medicine > R Medicine (General) |
Depositing User: | Editor WJARR |
Date Deposited: | 10 Jul 2025 16:42 |
Last Modified: | 10 Jul 2025 16:42 |
URI: | https://eprint.scholarsrepository.com/id/eprint/306 |