Tehran University of Medical Sciences

Science Communicator Platform

Stay connected! Follow us on X network (Twitter):
Faculty Members have conducted research related to the Assessing the Effectiveness of Artificial Neural Networks (Ann) and Multiple Linear Regressions (Mlr) in Forcasting Aqi and Pm10 and Evaluating Health Impacts Through Airq+ (Case Study: Tehran)
Saba Kalantary
Saba Kalantary

Assistant Professor of Occupational Health Engineering

Department Occupational Health Engineering

School of Public Health

Tehran University of Medical Sciences

All Documents
1. Corrigendum to “Assessing the Effectiveness of Artificial Neural Networks (Ann) and Multiple Linear Regressions (Mlr) in Forecasting Aqi and Pm10 and Evaluating Health Impacts Through Airq+ (Case Study: Tehran)” [Environ. Pollut., 338 (2023) 122623] (Environmental Pollution (2023) 338, (S0269749123016251), (10.1016/J.Envpol.2023.122623)), Environmental Pollution (2024)
2. Health Risk Assessment of Occupational Exposure to Heavy Metals Among Green Space Workers in Iran, Toxicology and Industrial Health (2024)
3. Assessing the Effectiveness of Artificial Neural Networks (Ann) and Multiple Linear Regressions (Mlr) in Forcasting Aqi and Pm10 and Evaluating Health Impacts Through Airq+ (Case Study: Tehran), Environmental Pollution (2023)
4. Assessment and Validation of Domestically Made Activated Carbon Sorbent Tubes for Sampling Air Pollutants, Journal of Health and Safety at Work (2023)
5. Feasibility of Production of Pet/Zif-8 Polymer Media to Remove Particles From the Air Stream Compared to Hepa Filter, Pollution (2023)
6. Risk Assessment of Airborne Transmission of a Viral Infection in a Healthcare Center in Tehran: A Cross-Sectional Study of Covid-19 During the Pandemic, Journal of Health and Safety at Work (2023)
7. Meta-Analysis of Body Concentration of Polychlorinated Biphenyls and Prostate Cancer, Toxicology and Industrial Health (2022)
8. An Application of Artificial Intelligence Techniques in Prediction of Birds Soundscape Impact on Tourists’ Mental Restoration in Natural Urban Areas, Urban Forestry and Urban Greening (2021)
9. Artificial Intelligence Accuracy Assessment in No2 Concentration Forecasting of Metropolises Air, Scientific Reports (2021)
10. Development of a Decision Support System Tool to Predict the Pulmonary Function Using Artificial Neural Network Approach, Concurrency and Computation: Practice and Experience (2021)
11. Evaluation of Factors Affecting Respiratory Function of Staff of Tehran University of Medical Sciences (Tums), Journal of Health and Safety at Work (2021)
12. Fabrication and Characterization of Pan/Cnt, Pan/Tio2, and Pan/Cnt/Tio2 Nanofibers for Uv Protection Properties, Journal of the Textile Institute (2021)
13. Fabrication and Characterization of Tio2 and Mwcnt Coated Electrospinning Nanofibers for Uv Protection Properties, MethodsX (2021)
14. Feasibility of Fabricating Pan/Tio2 Electrospinning Nanofibers With Uv Protection Property, Journal of Health and Safety at Work (2021)
15. Psychological and Psychosocial Impact and Related Factors During the Covid-19 Pandemic Among Iranian Oil Refineries Personnel: A Longitudinal Study, Archives of Iranian Medicine (2021)
16. The Evaluation on Artificial Neural Networks (Ann) and Multiple Linear Regressions (Mlr) Models for Predicting So2 Concentration, Urban Climate (2021)
17. Assessment of Electrospinning Antioxidant Nanofibers in Skin Exposure to Oxidative Stress, Journal of Mazandaran University of Medical Sciences (2020)
18. Forecasting Ozone Density in Tehran Air Using a Smart Data-Driven Approach, Journal of Health and Safety at Work (2020)
19. Mlr and Ann Approaches for Prediction of Synthetic/Natural Nanofibers Diameter in the Environmental and Medical Applications, Scientific Reports (2020)
20. A Systematic Review: Investigation of Occupational Studies Performed by Environmental Heat Stress Indices in Iran, Journal of Health and Safety at Work (2019)
21. Application of Ann Modeling Techniques in the Prediction of the Diameter of Pcl/Gelatin Nanofibers in Environmental and Medical Studies, RSC Advances (2019)
22. Evaluation Resistance Levels of the Pcl/Gt Nanofiber Mats During Exposure to Pahs for Use in the Occupational Setting, SN Applied Sciences (2019)
23. Occupational Exposure to Wood Dust and Risk of Nasopharyngeal Cancer: A Systematic Review and Meta-Analysis, Environmental Research (2019)
24. Review of Literature on Occupational Exposure to the Dusts in Iran Over the Past 14 Years, Journal of Health and Safety at Work (2019)
25. Association of Sick Building Syndrome With Indoor Air Parameters, Tanaffos (2015)
26. Fungal Airborne Contamination As a Serious Threat for Respiratory Infection in the Hematology Ward, Tanaffos (2015)
27. The Effects of Occupational Noise on Blood Pressure and Heart Rate of Workers in an Automotive Parts Industry, ARYA Atherosclerosis (2015)