PROJECT TITLE :

Time Series Analysis For Modeling Of Glioma Growth In Response To Radiotherapy

ABSTRACT:

Glioma could be a sort of brain tumor which will provide speedy growth and invasiveness, and radiation therapy often used to treat the same. Computer simulations enable estimating tumor growth and evaluate the effectiveness of the treatment arrange for the patient. This text proposes the use of your time series methodology via Exponential Smoothing technique to model the response to radiotherapy of glioma. The strategy Holt with additives errors was applied to model the dynamics of glioma. The results with 95percent confidence level, show that this methodology will represent the evolution of glioma in response to radiation therapy for a selected patient with mean absolute percentage error of concerning a pair ofpercent.