New AI Model Developed to Predict Foreign COVID-19 Inflows | Be Korea-savvy

New AI Model Developed to Predict Foreign COVID-19 Inflows


This photo, taken on July 23, 2020, shows health workers guiding arrivals at Incheon International Airport in Incheon. (Yonhap)

This photo, taken on July 23, 2020, shows health workers guiding arrivals at Incheon International Airport in Incheon. (Yonhap)

SEOUL, Aug. 20 (Korea Bizwire)A South Korean research team has developed a new artificial intelligence (AI)-based model that can predict the number of foreign COVID-19 cases entering the country.

Researchers from the Korea Advanced Institute of Science and Technology announced on Wednesday that it had developed a new AI model that was capable of predicting the number of foreigners infected with COVID-19 entering South Korea.

By using data such as the number of COVID-19 patients and deaths in foreign countries and the number of daily flights to Korea, the research team developed a model to predict the number of foreigners with COVID-19 entering the country over the following two weeks.

To calculate the COVID-19 risk of foreign countries, the research team used the frequency of COVID-19 related keyword searches, in addition to the reported number of COVID-19 patients and deaths.

Geological correlation and the degree of exchanges were also included as key factors.

The research team dubbed the research model ‘Hi-COVIDNet.”

On the basis of the data learned during the period from March 22 to May 5, the research team predicted the number of foreigners infected with COVID-19 entering the country over the following two weeks (May 6 to 19).

The prediction had a margin of error of just two to three persons compared to the actual number of incoming foreign COVID-19 patients during the period.

The research team explained that the accuracy of the newly-developed AI model was about 35 percent higher on average than that of time series data-based machine learning deep learning prediction models, which have been used primarily for the analysis of stock prices.

J. S. Shin (js_shin@koreabizwire.com)

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