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
20 Mar 2023

Abstract

Virus is a microorganism that can spread and infect living cells, such as humans, animals, and plants. Not all viruses have negative effects, as in the case of oncolytic viruses. This type of virus is modified to infect and kill cancer cells. The success of cancer therapy using this virus depends on the pattern of interaction between the virus population and cancer cells, which can be described by a mathematical model. This research uses two methods to estimate the growth of cancer cells with oncolytic virus therapy, namely the Extended Kalman Filter (EKF) and the Ensemble Kalman Filter (EnKF). The results show that EKF has a faster computation time compared to EnKF. However, the EKF estimation 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 ...