Parameter Estimation of a Tumor Growth Model under Data-driven Approach and Its Numerical Solution in Matlab

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Abstract

This paper focuses on the numerical solution of a tumor growth model under a data-driven approach. Based on the inherent laws of the data and reasonable assumptions, an ordinary differential equation model for tumor growth is established. Nonlinear fitting is employed to obtain the optimal parameter estimation of the mathematical model, and the numerical solution is carried out using the Matlab software. By comparing the clinical data with the simulation results, a good agreement is achieved, which verifies the rationality and feasibility of the model.

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