Survival Analysis of Diabetes Mellitus Patients Using Semiparametric Approach

Jerry Dwi Trijoyo Purnomo*, Santi Wulan Purnami, Febry Hilmi Anshori, Albertus Kurnia Lantika

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

The disease that attacks the human body and often gets special attention is diabetes. Diabetes mellitus is a non-communicable disease that is most commonly suffered by the world’s population. Diabetes is a condition that interferes with the body’s ability to process glucose in the blood, otherwise known as blood sugar. So, most patients have survival of only a few months. Therefore, research was conducted on the survival of people with diabetes mellitus and factors that affect it during the event. The method used in this study was the cox regression model. The results obtained from this study are three variables that significantly affect the survival of diabetes mellitus patients, namely Genetics, Age, and Diet. Then the variables Genetic, Age, and Diet became part of Cox Proportional Hazard (PH) modeling.

Original languageEnglish
Title of host publicationSoft Computing in Data Science - 6th International Conference, SCDS 2021, Proceedings
EditorsAzlinah Mohamed, Bee Wah Yap, Jasni Mohamad Zain, Michael W. Berry
PublisherSpringer Science and Business Media Deutschland GmbH
Pages381-394
Number of pages14
ISBN (Print)9789811673337
DOIs
Publication statusPublished - 2021
Event6th International Conference on Soft Computing in Data Science, SCDS 2021 - Virtual, Online
Duration: 2 Nov 20213 Nov 2021

Publication series

NameCommunications in Computer and Information Science
Volume1489 CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference6th International Conference on Soft Computing in Data Science, SCDS 2021
CityVirtual, Online
Period2/11/213/11/21

Keywords

  • Cox Proportional Hazard
  • Diabetes mellitus
  • Survival

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