Prediction of dose to the relatives of patients treated with radioiodine-131 using neural networks
In this study, the effective dose received by the family members and caregivers of 52 thyroid cancer
patients, who had been treated with radioiodine I-131, was measured to investigate the ability of
the neural network to predict the doses to the relatives. The effectiveness of this method to
predict the relatives who will receive doses of more than 1 mSv was evaluated. The effective doses
were measured by TLD. The inputs of the neural network include 13 different parameters that can
potentially affect the dose, and the output was the dose to the family members. The neural networks
in this study were feed-forward with a sigmoid activation function and one hidden layer. The mean
and median of the measured doses were 0.45 and 0.28 mSv and its range was 0.1 –3.64 mSv. The mean
square error of the predicted doses by the neural network and the measured doses by TLD (mean
squared error) for 99 individuals was 0.142. The optimum neural network was able to predict all the
relatives who re...
Source: Journal of Radiological Protection - Category: Physics Authors: Marzieh Ebrahimi, Mohammad Reza Kardan, Vahid Changizi, Seyed Mahdi Hosseini Pooya and Parham Geramifar Source Type: research