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Developing a Machine Learning Framework to Determine the Spread of COVID-19
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inferred← citeshttps://doi.org/10.1007/978-3-031-26422-1_27openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.chaos.2020.110338openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.envres.2021.111526openalex-snapshot
PM2.5 as a major predictor of COVID-19 basic reproduction number in the USA
inferred← citeshttps://doi.org/10.1021/acs.chemrev.1c00965openalex-snapshot
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inferred← citeshttps://doi.org/10.1029/2021gh000432openalex-snapshot
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inferred← citeshttps://doi.org/10.1038/s41598-022-16781-4openalex-snapshot
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inferred← citeshttps://doi.org/10.1108/wje-08-2021-0491openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/iccke54056.2021.9721531openalex-snapshot
Artificial Intelligence applications addressing different aspects of the Covid-19 crisis and key technological solutions for future epidemics control
inferred← citeshttps://doi.org/10.1149/2754-2726/ad9f7eopenalex-snapshot
Review—Challenges in Lab-to-Clinic Translation of 5 th /6 th Generation Intelligent Nanomaterial-enabled Biosensors
inferred← citeshttps://doi.org/10.1177/00469580211005189openalex-snapshot
Social Capital Mediates the Relationship between Social Distancing and COVID-19 Prevalence in Japan
inferred← citeshttps://doi.org/10.14201/gredos.153227openalex-snapshot
Epidemiología sociocultural de la crisis del COVID-19
inferred← citeshttps://doi.org/10.2174/9789815080650123010008openalex-snapshot
AI based Clinical Analysis of COVID-19 Infected Patients
inferred← citeshttps://doi.org/10.3389/fdata.2023.1038283openalex-snapshot
A large-scale machine learning study of sociodemographic factors contributing to COVID-19 severity
inferred← citeshttps://doi.org/10.3390/covid2100098openalex-snapshot
Application of Artificial Intelligence Methods Depending on the Tasks Solved during COVID-19 Pandemic
inferred← citeshttps://doi.org/10.3390/ijerph17165634openalex-snapshot
Winter Is Coming: A Southern Hemisphere Perspective of the Environmental Drivers of SARS-CoV-2 and the Potential Seasonality of COVID-19
inferred← citeshttps://doi.org/10.3390/ijerph18062803openalex-snapshot
The Geography of the Covid-19 Pandemic: A Data-Driven Approach to Exploring Geographical Driving Forces
inferred← citeshttps://doi.org/10.3390/ijerph18084287openalex-snapshot
Application of Artificial Intelligence-Based Regression Methods in the Problem of COVID-19 Spread Prediction: A Systematic Review
inferred← citeshttps://doi.org/10.3390/ijerph18136750openalex-snapshot
Machine Learning for Analyzing Non-Countermeasure Factors Affecting Early Spread of COVID-19
inferred← citeshttps://doi.org/10.3390/ijerph19095099openalex-snapshot
Machine Learning, Deep Learning, and Mathematical Models to Analyze Forecasting and Epidemiology of COVID-19: A Systematic Literature Review
inferred← citeshttps://doi.org/10.53294/ijfstr.2022.2.1.0021openalex-snapshot
Internet of Nanothings (IoNT) and Machine Learning (ML) – Innovations in drug discovery and Healthcare system
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