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Supervised Machine Learning Algorithms for Bioelectromagnetics: Prediction Models and Feature Selection Techniques Using Data from Weak Radiofrequency Radiation Effect on Human and Animals Cells
Open AccessArticle

Design of an Integrated Platform for Mapping Residential Exposure to Rf-Emf Sources

Institut National de l’Environnement Industriel et des Risques (INERIS), Parc, 60550 Verneuil en Halatte, France
LAMFA, UMR CNRS 7352, Université de Picardie Jules Verne, 33 rue Saint-Leu, 80039 Amiens, France
PériTox, UMR_I 01, CURS, Université de Picardie Jules Verne, 80025 Amiens, France
LTCI Telecom Paris, Chaire C2m, Institut Polytechnique de Paris, 91120 Palaiseau, France
OPERA—Wireless Communications Group, Université Libre de Bruxelles, 1050 Brussels, Belgium
CNR IEIIT—Consiglio Nazionale delle Ricerche, Istituto di Elettronica e di Ingegneria dell’Informazione e delle Telecomunicazioni, 20133 Milan, Italy
Department of Information Technology, Ghent University, 9052 Ghent, Belgium
Institute for Risk Assessment Sciences, Utrecht University, 3508 Utrecht, The Netherlands
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2020, 17(15), 5339;
Received: 9 June 2020 / Revised: 2 July 2020 / Accepted: 20 July 2020 / Published: 24 July 2020
Nowadays, information and communication technologies (mobile phones, connected objects) strongly occupy our daily life. The increasing use of these technologies and the complexity of network infrastructures raise issues about radiofrequency electromagnetic fields (Rf-Emf) exposure. Most previous studies have assessed individual exposure to Rf-Emf, and the next level is to assess populational exposure. In our study, we designed a statistical tool for Rf-Emf populational exposure assessment and mapping. This tool integrates geographic databases and surrogate models to characterize spatiotemporal exposure from outdoor sources, indoor sources, and mobile phones. A case study was conducted on a 100 × 100 m grid covering the 14th district of Paris to illustrate the functionalities of the tool. Whole-body specific absorption rate (SAR) values are 2.7 times higher than those for the whole brain. The mapping of whole-body and whole-brain SAR values shows a dichotomy between built-up and non-built-up areas, with the former displaying higher values. Maximum SAR values do not exceed 3.5 and 3.9 mW/kg for the whole body and the whole brain, respectively, thus they are significantly below International Commission on Non-Ionizing Radiation Protection (ICNIRP) recommendations. Indoor sources are the main contributor to populational exposure, followed by outdoor sources and mobile phones, which generally represents less than 1% of total exposure. View Full-Text
Keywords: radiofrequency electromagnetic fields; spatiotemporal exposure assessment; data fusion; Monte Carlo approach radiofrequency electromagnetic fields; spatiotemporal exposure assessment; data fusion; Monte Carlo approach
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Regrain, C.; Caudeville, J.; de Seze, R.; Guedda, M.; Chobineh, A.; de Doncker, P.; Petrillo, L.; Chiaramello, E.; Parazzini, M.; Joseph, W.; Aerts, S.; Huss, A.; Wiart, J. Design of an Integrated Platform for Mapping Residential Exposure to Rf-Emf Sources. Int. J. Environ. Res. Public Health 2020, 17, 5339.

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