Non-Linear Kernel Based Error Function for Cancer Chemotherapy Dosage

Abstract

The most common cause of death is cancer because the same chemical treatment is the most important and widely used method. In this article, we monitor the number of significant cell types of normal cells, immune cells as well as tumor cells within unpredictability in the various variables in the cancer model. The Nonlinear Kernel-based Error Function using Extended Kalman Filter (EKF) is designed for operation, the error is detected using standard deviation and is used for the EKF regeneration process. Here, the recovery process is based on error operation. In addition, a measurement is included that monitors the development of the error, of the update process. The proposed control is explored with other traditional methods that will influence the injection of the drug into normal cells, body, and tumor. It has also been confirmed that the proposed NEFEKF operates strictly with parameter uncertainty.