Machine learning and prediction of infectious diseases: a systematic review
OE Santangelo, V Gentile, S Pizzo, D Giordano… - Machine Learning and …, 2023 - mdpi.com
The aim of the study is to show whether it is possible to predict infectious disease outbreaks
early, by using machine learning. This study was carried out following the guidelines of the …
early, by using machine learning. This study was carried out following the guidelines of the …
The application of artificial intelligence and data integration in COVID-19 studies: a sco** review
Objective To summarize how artificial intelligence (AI) is being applied in COVID-19
research and determine whether these AI applications integrated heterogenous data from …
research and determine whether these AI applications integrated heterogenous data from …
Application of machine learning time series analysis for prediction COVID-19 pandemic
Purpose Coronavirus disease is an irresistible infection caused by the respiratory disease
coronavirus 2 (SARS-CoV-2). It was first found in Wuhan, China, in December 2019, and …
coronavirus 2 (SARS-CoV-2). It was first found in Wuhan, China, in December 2019, and …
Evaluation of vulnerability status of the infection risk to COVID-19 using geographic information systems (GIS) and multi-criteria decision analysis (MCDA): a case …
H Asfaw, S Karuppannan, T Erduno… - International Journal of …, 2022 - mdpi.com
COVID-19 is a disease caused by a new coronavirus called SARS-CoV-2 and is an
accidental global public health threat. Because of this, WHO declared the COVID-19 …
accidental global public health threat. Because of this, WHO declared the COVID-19 …
Comparison between deep learning and tree-based machine learning approaches for landslide susceptibility map**
The efficiency of deep learning and tree-based machine learning approaches has gained
immense popularity in various fields. One deep learning model viz. convolution neural …
immense popularity in various fields. One deep learning model viz. convolution neural …
[HTML][HTML] Short-range forecasting of COVID-19 during early onset at county, health district, and state geographic levels using seven methods: comparative forecasting …
Background Forecasting methods rely on trends and averages of prior observations to
forecast COVID-19 case counts. COVID-19 forecasts have received much media attention …
forecast COVID-19 case counts. COVID-19 forecasts have received much media attention …
Rapid review of COVID-19 epidemic estimation studies for Iran
Background To inform researchers about the methodology and results of epidemic
estimation studies performed for COVID-19 epidemic in Iran, we aimed to perform a rapid …
estimation studies performed for COVID-19 epidemic in Iran, we aimed to perform a rapid …
What can covid-19 teach us about using ai in pandemics?
The COVID-19 pandemic put significant strain on societies and their resources, with the
healthcare system and workers being particularly affected. Artificial Intelligence (AI) offers …
healthcare system and workers being particularly affected. Artificial Intelligence (AI) offers …
Map** COVID-19's potential infection risk based on land use characteristics: A case study of commercial activities in two Egyptian cities
The contagious COVID-19 has recently emerged and evolved into a world-threatening
pandemic outbreak. After pursuing rigorous prophylactic measures two years ago, most …
pandemic outbreak. After pursuing rigorous prophylactic measures two years ago, most …
[HTML][HTML] Geographic information system-based analysis of COVID-19 cases in India during pre-lockdown, lockdown, and unlock phases
Abstract Objective The World Health Organization formally announced the global COVID-19
pandemic on March 11, 2020 due to widespread infections. In this study, COVID-19 cases in …
pandemic on March 11, 2020 due to widespread infections. In this study, COVID-19 cases in …