AIMC Topic: Iran

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Assessment of noise pollution-prone areas using an explainable geospatial artificial intelligence approach.

Journal of environmental management Sep 9, 2024
This research aims to use the power of geospatial artificial intelligence (GeoAI), employing the categorical boosting (CatBoost) machine learning model in conjunction with two metaheuristic algorithms, the firefly algorithm (CatBoost-FA) and the frui...
Environmental Monitoring Noise Iran Artificial Intelligence Machine Learning Algorithms
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Prediction of childbearing tendency in women on the verge of marriage using machine learning techniques.

Scientific reports Sep 6, 2024
The declining fertility rate and increasing marriage age among girls pose challenges for policymakers, leading to issues such as population decline, higher social and economic costs, and reduced labor productivity. Using machine learning (ML) techniq...
Humans Machine Learning Algorithms Support Vector Machine Iran Marriage Reproductive Behavior Female Young Adult Adult
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Deep learning insights into spatial patterns of stable isotopes in Iran's precipitation: a novel approach to climatological mapping.

Isotopes in environmental and health studies Sep 3, 2024
Stable isotope techniques are precise methods for studying various aspects of hydrology, such as precipitation characteristics. However, understanding the variations in the stable isotope content in precipitation is challenging in Iran due to numerou...
Deep Learning Environmental Monitoring Iran Isotopes Climate Rain Carbon Isotopes Oxygen Isotopes
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Machine learning techniques to identify risk factors of breast cancer among women in Mashhad, Iran.

Journal of preventive medicine and hygiene Aug 31, 2024
BACKGROUND: Low survival rates of breast cancer in developing countries are mainly due to the lack of early detection plans and adequate diagnosis and treatment facilities.
Decision Trees Principal Component Analysis Iran Adult Breast Neoplasms Middle Aged Case-Control Studies Adolescent Logistic Models Risk Factors Aged Young Adult Humans Machine Learning Female
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Risk factors for the time to development of retinopathy of prematurity in premature infants in Iran: a machine learning approach.

BMC ophthalmology Aug 23, 2024
BACKGROUND: Retinopathy of prematurity (ROP), is a preventable leading cause of blindness in infants and is a condition in which the immature retina experiences abnormal blood vessel growth. The development of ROP is multifactorial; nevertheless, the...
Infant, Premature Gestational Age Retinopathy of Prematurity Infant, Newborn Risk Factors Male Birth Weight Iran Infant Time Factors Machine Learning Retrospective Studies Female Humans
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Using algorithmic game theory to improve supervised machine learning: A novel applicability approach in flood susceptibility mapping.

Environmental science and pollution research international Aug 19, 2024
This study was carried out with the aim of applying Condorcet and Borda scoring algorithms based on Game Theory (GT) to determine flood points and Flood Susceptibility Mapping (FSM) based on Machine Learning Algorithms (MLA) including Random Forest (...
Supervised Machine Learning Iran Floods Game Theory Machine Learning Algorithms Support Vector Machine
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Comparative analysis of feature selection techniques for COVID-19 dataset.

Scientific reports Aug 11, 2024
In the context of early disease detection, machine learning (ML) has emerged as a vital tool. Feature selection (FS) algorithms play a crucial role in ensuring the accuracy of predictive models by identifying the most influential variables. This stud...
Female SARS-CoV-2 Aged COVID-19 Algorithms Retrospective Studies Iran Adult Male Middle Aged Humans Machine Learning
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Improving the quality of Persian clinical text with a novel spelling correction system.

BMC medical informatics and decision making Aug 5, 2024
BACKGROUND: The accuracy of spelling in Electronic Health Records (EHRs) is a critical factor for efficient clinical care, research, and ensuring patient safety. The Persian language, with its abundant vocabulary and complex characteristics, poses un...
Humans Algorithms Electronic Health Records Natural Language Processing Iran
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Enhancing flood mapping through ensemble machine learning in the Gamasyab watershed, Western Iran.

Environmental science and pollution research international Aug 2, 2024
Floods are among the natural hazards that have seen a rapid increase in frequency in recent decades. The damage caused by floods, including human and financial losses, poses a serious threat to human life. This study evaluates two machine learning (M...
Support Vector Machine Iran Floods Humans Machine Learning Geographic Information Systems
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The Lag -Effects of Air Pollutants and Meteorological Factors on COVID-19 Infection Transmission and Severity: Using Machine Learning Techniques.

Journal of research in health sciences Jul 31, 2024
BACKGROUND: Exposure to air pollution is a major health problem worldwide. This study aimed to investigate the effect of the level of air pollutants and meteorological parameters with their related lag time on the transmission and severity of coronav...
Nitrogen Dioxide Sulfur Dioxide Meteorological Concepts Particulate Matter Iran Carbon Monoxide Humans Machine Learning COVID-19 Air Pollutants Air Pollution Ozone SARS-CoV-2 Hospitalization Severity of Illness Index
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