Optimization assisted Kalman filter for cancer chemotherapy dosage estimation
作者：
Highlights：
• The highlights of the article are given below for your kind perusal. Kindly, consider and forward my article for further processes.
• Exploits the advanced Mean fitness based Particle Swarm Update (MF-PSU) to controls the drug dosage.
• Introduces MF-PSU based optimization that assists in fine tuning the initial state of EKF.
• The performance of proposed drug dosage estimation system is better than the conventional models.
摘要
The highlights of the article are given below for your kind perusal. Kindly, consider and forward my article for further processes.•Exploits the advanced Mean fitness based Particle Swarm Update (MF-PSU) to controls the drug dosage.•Introduces MF-PSU based optimization that assists in fine tuning the initial state of EKF.•The performance of proposed drug dosage estimation system is better than the conventional models.
论文关键词：Chemotherapy,Drug usage,Kernal,Kalman filter,Regularized Error Function,MF-PSU.
论文评审过程：Received 23 January 2021, Revised 22 July 2021, Accepted 16 August 2021, Available online 20 August 2021, Version of Record 31 August 2021.
论文官网地址：https://doi.org/10.1016/j.artmed.2021.102152
