δ-TRIMAX Method with Silhouette Coefficient on Microarray Gene Expression Data for Early Detection of Heart Failure

Wilhelmina A.N. Daeng, Titin Siswantining, Alhadi Bustamam, Prasnurzaki Anki

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

Abstract

Heart failure, often called congestive heart failure (CHF), is a condition where the heart cannot pump blood to meet the needs of metabolic tissues. To date, there has been a lot of research on methods of gene expression analysis to produce the information needed regarding the diagnosis and prognosis of various diseases, including heart failure. The 3-dimensional data analysis was finally brought to the context of computational biologies, such as gene-sample-time, patient-record-time, druggene-dose expression data, and so on. This 3-dimensional data is essential to help understand the complex biology and physical processes related to a disease's progress and response to stimulus/drug/therapy. δ-Trimax is a triclustering algorithm used to find a tricluster with an MSR smaller than the predetermined threshold. For determing the threshold, we use the K-means clustering algorithm with the Silhouette Method to find a threshold that can maximize the quality of the tricluster (minimum MSR accompanied by maximum tricluster volume). In this study, δ-Trimax was implemented with several scenarios in gene expression data of patients with and without PAH (Pulmonary Arterial Hypertension). PAH is a kind of symptom of heart failure disease. The low value of the Tricluster Quality Index (TQI) indicate best triclustering result. In this case, we found that the scenario with a threshold δ of 0.08156218 and produced a higher quality tricluster than the other scenarios.

Original languageEnglish
Title of host publicationICOIACT 2022 - 5th International Conference on Information and Communications Technology
Subtitle of host publicationA New Way to Make AI Useful for Everyone in the New Normal Era, Proceeding
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages412-416
Number of pages5
ISBN (Electronic)9781665451406
DOIs
Publication statusPublished - 2022
Event5th International Conference on Information and Communications Technology, ICOIACT 2022 - Yogyakarta, Indonesia
Duration: 24 Aug 202225 Aug 2022

Publication series

NameICOIACT 2022 - 5th International Conference on Information and Communications Technology: A New Way to Make AI Useful for Everyone in the New Normal Era, Proceeding

Conference

Conference5th International Conference on Information and Communications Technology, ICOIACT 2022
Country/TerritoryIndonesia
CityYogyakarta
Period24/08/2225/08/22

Keywords

  • 3D gene expression data
  • gene-sample-time
  • Heart failure
  • TQI
  • triclustering
  • δ-trimax

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