Deep Data-driven Web Tool for Assessing the Risk of Radio-induced Cancer Following Urban Nuclear Events
Year: 2025
Type: article
Abstract: The study introduces an online computer program that leverages data from reports on the biological effects of ionizing radiation (BEIR V and VII). This program is specifically designed for conservative and initial radiological risk assessment in a simulated scenario of contamination/exposure by radioactive materials. It also estimates the lost life expectancy (LLE) due to cancers induced by exposure to low levels of ionizing radiation. To calculate the radiological risk, users need to input the dose (in Sv) to which the individuals were exposed, the age at which exposure occurred, and, depending on the model (solid tumors or leukemia), the sex and age of the individuals. The program, built using Ruby on Rails and the general-purpose programming language Ruby, is a fully functional web application with a PostgreSQL database. The fundamental goal of this study is to assess the potential impact of using a web application in expediting specific initial tasks, guiding the prioritization of early care, and thereby increasing decision-making accuracy through usability parameters.
Source: Aracê.
DOI: 10.56238/arev7n2-234
Authors: Itamar A. T. Pereira, Raquel A. A. C. Oliveira, Sergio Gavazza, Edson R. Andrade
Institution: Military Institute of Engineering
Language: English
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: bronze
OpenAlex ID: W4407768310