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All Journal UNP Journal of Statistics and Data Science
Razita Nur Amalina
Universitas Negeri Padang
Computer Science & IT Decision Sciences, Operations Research & Management Mathematics Social Sciences

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Evaluating Determinants Of Survival Time In Heart Failure Patients Using Cox Proportional Hazards Regression Fajri Juli Rahman Nur Zendrato; Tessy Octavia Mukhti; Sarmilah; Razita Nur Amalina; Rosa Salsabila Azarine
UNP Journal of Statistics and Data Science Vol. 4 No. 3 (2026): UNP Journal of Statistics and Data Science
Publisher : Departemen Statistika Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/ujsds/vol4-iss3/477

Abstract

Heart failure represents a severe chronic cardiovascular disorder and remains a major contributor to global mortality rates. Identifying specific risk factors that impact patient survivability is crucial for enhancing clinical interventions. This research investigates the determinants influencing the survival duration of heart failure patients by applying the Cox Proportional Hazards (Cox PH) regression approach. The primary objective of this study is to provide information on the main causes of heart failure and the factors that can influence the condition. Utilizing a secondary dataset of 299 patient records sourced from Kaggle, the study analyzed several variables, including age, gender, anemia, diabetes, smoking habits, and hypertension. The analytical findings reveal that age serves as the most critical determinant; individuals older than 65 face a 2.04 times greater mortality risk than younger cohorts. Furthermore, comorbidities such as anemia and hypertension significantly elevate this risk, presenting hazard ratios of 1.44 and 1.46, respectively. These outcomes emphasize the critical role of age and pre-existing medical conditions in the prognosis of heart failure, offering valuable perspectives for medical practitioners to design targeted therapeutic strategies that prolong patient survival.
Co-Authors Fajri Juli Rahman Nur Zendrato Rosa Salsabila Azarine Sarmilah Tessy Octavia Mukhti