CGANT JOURNAL OF MATHEMATICS AND APPLICATIONS
Vol 4, No 1 (2023): CGANT JOURNAL OF MATHEMATICS AND APPLICATIONS

Perbandingan Metode Extended Kalman Filter dan Ensamble Kalman Filter dalam Mengestimasi Pertumbuhan Sel Kanker dengan Pengobatan Virus Oncolytic

Rifki Ilham Baihaki (Universitas Jember)
Didik Khusnul Arif (Institut Teknologi Sepuluh Nopember)
Erna Apriliani (Institut Teknologi Sepuluh Nopember)

Article Info

Publish Date
27 Mar 2023

Abstract

Virus is a microorganism that can spread and infect living cells, suchas humans, animals, and plants. Not all viruses have negative effects, as in thecase of oncolytic viruses. This type of virus is modified to infect and kill cancercells. The success of cancer therapy using this virus depends on the pattern ofinteraction between the virus population and cancer cells, which can bedescribed by a mathematical model. This research uses two methods to estimatethe growth of cancer cells with oncolytic virus therapy, namely the ExtendedKalman Filter (EKF) and the Ensamble Kalman Filter (EnKF). The results showthat EKF has a faster computation time compared to EnKF. However, the EKFestimation results are still inferior to those of EnKF.

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Journal Info
CGANT JOURNAL OF MATHEMATICS AND APPLICATIONS
Website

Abbrev

cgant

Publisher

Universitas Jember

Subject

Computer Science & IT Other

Description

Subjects suitable for publication include, the following fields of: Degree Diameter Problem in Graph Theory Large Graphs in Computer Science Mathematical Computation of Graph Theory Graph Coloring in Atomic and Molecular Graph Labeling in Coding Theory and Cryptography Dimensions of graphs on ...