4.6 Article

Artificial intelligence-based fuzzy logic systems for predicting radiation protection awareness levels among university population

期刊

RADIATION PHYSICS AND CHEMISTRY
卷 208, 期 -, 页码 -

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PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.radphyschem.2023.110888

关键词

Radiation protection; Awareness prediction; Artificial intelligence; Fuzzy logic system; Ionizing radiation; PNU

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The present study used an artificial intelligence-based fuzzy logic system to assess the knowledge level of radiation protection among individuals of Princess Nourah bint Abdulrahman University (PNU). The results showed that PNU individuals in the medical field have a reasonable awareness of radiation protection, while the general knowledge of non-medical individuals needs improvement. The study also suggests that the fuzzy model can be used in other institutions and areas to raise awareness of radiation protection.
The present study aims to assess the knowledge level of radiation protection among individuals of Princess Nourah bint Abdulrahman University (PNU) using artificial intelligence baesd fuzzy logic system. This cross-sectional study included 428 PNU participants. They were asked to fill in the online questionnaire, consisting of demographic data, education level, and radiation protection awareness. After informed consent was completed, a statistical package for the social sciences as well as fuzzy logic system was used for data analysis. The participant group consisted of 98.4% females, 96.3% individuals aged 18-28 years (the most common age group), 63.1% bachelor's degree holders, and 65.7% medical participants. Specialty and radiation protection awareness exhibited significant association (P < 0.05). However, age, education level, and gender did not show a significant association (P > 0.05). PNU individuals in the medical field differed significantly (P > 0.05) with the non-medical individual in their knowledge of radiation protection. This study suggests that PNU individuals in the medical field have a reasonable awareness of radiation protection. However, the general knowledge of non-medical individuals must be improved to raise awareness. Based on the obtained results by using fuzzy model, this study suggests that the tool can be used in the process of radiation protection awareness in other institutions and areas.

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