Artificial Intelligence Determines the Great Pandemics of the Future

Artificial Intelligence Determines the Great Pandemics of the Future

Artificial intelligence determines the great epidemics of the future
Artificial intelligence determines the great pandemics of the future

Near East University, using artificial intelligence models, 1′ for each of Influenza A H1N3, Chikungunya, Dengue, Crimean-Congo Hemorrhagic Fever, Ebola, Yellow Fever, HIV, Influenza A H2N5, Influenza A H1N1, West Nile and SARS- CoV-22 viruses. by making annual projections of evil; revealed which viruses can cause major epidemics in which years.

Using artificial intelligence and mathematical models, the Near East University conducted a study that provides clear answers to questions such as whether other epidemics are at risk of turning into pandemics, and much more.

Prof. from Near East University. Dr. Tamer Sanlidag, Assoc. Dr. Dilber Uzun Özşahin, Assoc. Dr. Cenk Serhan Özverel, Assist. Assoc. Dr. Berna Uzun, Assist. Assoc. Dr. Abdullahi Garba Usman, Dr. Nazife Sultanoglu and Dr. In the study with the signature of Cemile Bağkur; 1-year projections are made for each of the influenza A H1N3, Chikungunya, Dengue, Crimean-Congo Hemorrhagic Fever, Ebola, Yellow Fever, HIV, Influenza A H2N5, Influenza A H1N1, West Nile and SARS-CoV-22 viruses. revealed that it can cause major epidemics.

“Dengue fever virus may reach 3.5 million and Chikungunya virus 1.1 million cases”

“Prediction of possible outbreaks in the future with application of artificial intelligence. First outbreak with which virus? When?” The study, which was reported under the name of the Presidency, the Prime Ministry, the Ministry of Health, the Ministry of National Education, the Assembly of the Republic and the Embassy of the Republic of Turkey in Nicosia; Influenza A H1N1 virus with the number of about 2032 thousand cases in 550; He determined that Chikungunya Virus with about 2037 million cases in 1.1 and Dengue Fever Virus with about 2042 million cases in 3.5 can cause major epidemics that will affect the world.

According to another result, the increase in HIV infections will continue in the 22-year period, similar to the past. On the other hand, the Crimean-Congo hemorrhagic fever, Ebola, Yellow fever, Influenza A H3N2, Influenza A H5N1, West Nile and SARS-CoV-1 viruses do not have the potential to turn into a pandemic.

prof. Dr. İrfan Suat Günsel: “As a requirement of our responsibility towards humanity, we present our report, which we have prepared as a result of our past experiences, and which determines the possible major epidemics of the future, to the attention of the public. .”

Near East University Chairman of the Board of Trustees Prof. Dr. İrfan Suat Günsel, referring to their work during the Covid-19 pandemic, said: “The protective nasal spray Olirin, which we developed by mobilizing all our resources since the first day of the pandemic, is the domestic and national PCR -diagnosis and variant analysis kit of our country, licensed by the Ministry of Health of our country to our Ministry of Health. We worked to meet the needs created by this period with many projects such as respiratory equipment, mobile and hospital-type ventilators.” used the phrase.

“During the pandemic period, with the reports prepared by our scientists using artificial intelligence and mathematical models; Günsel said: “We fulfilled a very important task by providing data to our state on the management of the epidemic process, while also answering the uncertainties that raise concerns on a strong scientific basis,” Günsel said and added: “We have brought our report, which we have prepared as a result of our past experiences, and which determines the possible great epidemics of the future, to the attention of the public as a requirement of our responsibility to humanity. We offer .” he said.

“We analyzed the data of 11 RNA viruses from the WHO, CDC, ECDC, PAHO with 4 different hybrid artificial intelligence models.”

Prof. Dr. Tamer Şanlıdağ, acting rector of the Near East University, emphasizes that artificial intelligence models have achieved a very important accuracy rate in decision-making processes, “Prediction of possible outbreaks with application of artificial intelligence. First outbreak with which virus? When?” He also said that the study they reported under the title of the report revealed important results about the major epidemics of the future.

Data on criteria such as mutation rates of 11 RNA viruses used in the study, presence of vaccine, Ro values, annual number of cases and deaths; Noting that they were obtained from important institutions such as the World Health Organization (WHO), CDC (Centers for Disease Control and Prevention), ECDC (European Center for Disease and Prevention) and PAHO (Pan American Health Organization) covering the years 2000-2022 , Prof. Dr. Şanlıdağ, “The data observed for each virus type since 2000, Linear Regression-Gaussian Process Regression (LR-GPR), Linear Regression-Least Squares Boost (LR-LSQBOOST), Linear Regression-Support Vector Machine (LR) -SVM) The results are obtained by analyzing 4 different hybrid artificial intelligence models such as Linear Regression-Regression Tree (LR-RT).” said.

prof. Dr. Tamer Şanlıdağ explained the accuracy of the study they prepared as 88 percent to 99 percent.

Recalling that Dengue Fever and Chikungunya viruses, which have the greatest potential to create a major epidemic, are spread by mosquitoes, Şanlıdağ warned that increasing temperatures due to global warming and climate changes ensure the spread of hosts that accelerate the transmission of these diseases .

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