Science Map Journal
Vol 4 No 2 (2022): Science Map Journal

PERBANDINGAN MODEL REGRESI WEIBULL DAN REGRESI COX PROPOSIONAL HAZARD

Mayawi Mayawi (Universitas Gadjah Mada)
Nurhayati Nurhayati (Universitas Almuslim)
Novita Serly Laamena (Universitas Pattimura)
Ariestha Widyastuty Bustan (Universitas Pasifik Morotai)
Munazat Salmin (Universitas Khairun)
Taufan Talib (Universitas Pattimura)

Article Info

Publish Date
18 Oct 2022

Abstract

This study aims to determine the model of Acute Myocardial Infarction using the Weibull Regression and Cox Proportional Hazard Regression methods to determine the factors that significantly influence the length of time for recovery of acute myocardial infarction patients. The results of this study indicate that the factors that significantly influence the recovery time of acute myocardial infarction patients are age, onset, number of secondary diagnoses and duration of pain. Based on the AIC value, the Weibull regression model is the best regression model because the AIC value is smaller, namely 292.883 compared to the Cox Proportional Hazard regression model with an AIC value of 493.3971

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Journal Info
Science Map Journal
Website

Abbrev

sciencemap

Publisher

Universitas Pattimura

Subject

Chemistry Education Mathematics Physics Social Sciences

Description

Science Map Journal (Scie Map J) merupakan peer-review journal yang diterbitkan dua kali dalam setahun pada bulan Juni dan November oleh Jurusan Pendidikan Matematika dan Ilmu Pengetahuan Alam, Fakultas Keguruan dan Ilmu Pendidikan, Universitas Pattimura, Ambon. Scie Map J menerbitkan artikel ...