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Advances in artificial intelligence for infectious-disease surveillance
Advances in Artificial Intelligence for Infectious-Disease Surveillance | New England Journal of
Medicine Skip to main content The New England Journal of Medicine homepage Advanced …
Medicine Skip to main content The New England Journal of Medicine homepage Advanced …
Artificial intelligence: review of current and future applications in medicine
LB Thomas, SM Mastorides… - Federal …, 2021 - pmc.ncbi.nlm.nih.gov
Background The role of artificial intelligence (AI) in health care is expanding rapidly.
Currently, there are at least 29 US Food and Drug Administration-approved AI health care …
Currently, there are at least 29 US Food and Drug Administration-approved AI health care …
GIS-based spatial modeling of COVID-19 incidence rate in the continental United States
During the first 90 days of the COVID-19 outbreak in the United States, over 675,000
confirmed cases of the disease have been reported, posing unprecedented socioeconomic …
confirmed cases of the disease have been reported, posing unprecedented socioeconomic …
[HTML][HTML] Artificial neural network modeling of novel coronavirus (COVID-19) incidence rates across the continental United States
Prediction of the COVID-19 incidence rate is a matter of global importance, particularly in the
United States. As of 4 June 2020, more than 1.8 million confirmed cases and over 108 …
United States. As of 4 June 2020, more than 1.8 million confirmed cases and over 108 …
Living environment matters: Unravelling the spatial clustering of COVID-19 hotspots in Kolkata megacity, India
The emergence of COVID-19 has brought a serious global public health threats especially
for most of the cities across the world even in India more than 50% of the total cases were …
for most of the cities across the world even in India more than 50% of the total cases were …
Spatio-temporal patterns of the COVID-19 pandemic, and place-based influential factors at the neighborhood scale in Tehran
Since its emergence in late 2019, the COVID-19 pandemic has attracted the attention of
researchers in various fields, including urban planning and design. However, the spreading …
researchers in various fields, including urban planning and design. However, the spreading …
Using artificial neural networks to assess earthquake vulnerability in urban blocks of Tehran
The purpose of this study is to assess the vulnerability of urban blocks to earthquakes for
Tehran as a city built on geological faults using an artificial neural network—multi-layer …
Tehran as a city built on geological faults using an artificial neural network—multi-layer …
Spatio-temporal modeling of COVID-19 prevalence and mortality using artificial neural network algorithms
The outbreak of coronavirus disease (COVID-19) has become one of the most challenging
global concerns in recent years. Due to inadequate worldwide studies on spatio-temporal …
global concerns in recent years. Due to inadequate worldwide studies on spatio-temporal …
An evaluative model for assessing pandemic resilience at the neighborhood level: The case of Tehran
The spread of the COVID-19 virus, which has caused abundant mortalities in human
settlements, has drawn the attention of urban planners and policy-makers to the necessity of …
settlements, has drawn the attention of urban planners and policy-makers to the necessity of …
Tourist hot spots prediction model based on optimized neural network algorithm
X Huang, V Jagota, E Espinoza-Muñoz… - International Journal of …, 2021 - Springer
With the increase in the tourism industry, the experience of the tourist is changed
dramatically. Mainly, there are two types of sustainability in the tourism industry. One is for …
dramatically. Mainly, there are two types of sustainability in the tourism industry. One is for …