A Multilayer Perceptron Neural Network–Based Model for Predicting Subjective Health Symptoms in People Living in the Vicinity of Mobile Phone Base Stations-Reference-Cited by-同舟云学术

A Multilayer Perceptron Neural Network–Based Model for Predicting Subjective Health Symptoms in People Living in the Vicinity of Mobile Phone Base Stations

Published:2017-06 Issue:2 Volume:9 Page:99-105
ISSN:1942-9347
Container-title:Ecopsychology
language:en
Short-container-title:Ecopsychology

Author:

Parsaei H.¹,Faraz M.¹,Mortazavi S. M. J.²³

Affiliation:

1. Medical Physics and Medical Engineering Department, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran.

2. Department of Diagnostic Imaging, Fox Chase Cancer Center, Philadelphia, Pennsylvania, USA.

3. Ionizing and Non-ionizing Radiation Protection Research Center (INIRPRC), Shiraz University of Medical Sciences, Shiraz, Iran.

Publisher

Mary Ann Liebert Inc

Subject

Applied Psychology,Social Psychology

Link

http://www.liebertpub.com/doi/pdf/10.1089/eco.2017.0011

Reference53 articles.

1. Neurobehavioral effects among inhabitants around mobile phone base stations

2. Review of the Epidemiologic Literature on EMF and Health

3. 3D cerebral MR image segmentation using multiple-classifier system

4. Mobile phone base stations and adverse health effects: phase 2 of a cross-sectional study with measured radio frequency electromagnetic fields

5. Review of MR image segmentation techniques using pattern recognition

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Radiation from Mobile Phones and Cell Towers, Risks, and Protection;An Introduction to Non-Ionizing Radiation;2023-11-12

2. Multilayer perceptron-based self-care early prediction of children with disabilities;DIGITAL HEALTH;2023-01

3. Adverse Effect of Electromagnetic Frequency on Human Being Health Under Real-life Scenario: A Comparative Study;Proceedings of International Conference on Computational Intelligence and Data Engineering;2022

4. The Critical Importance of Molecular Biomarkers and Imaging in the Study of Electrohypersensitivity. A Scientific Consensus International Report;International Journal of Molecular Sciences;2021-07-07

5. AN ARTIFICIAL NEURAL NETWORK-BASED MODEL FOR PREDICTING ANNUAL DOSE IN HEALTHCARE WORKERS OCCUPATIONALLY EXPOSED TO DIFFERENT LEVELS OF IONIZING RADIATION;Radiation Protection Dosimetry;2020-02-26