首页|Sichuan University Researchers Publish New Studies and Findings in the Area of M achine Learning (Statistical machine learning models for prediction of China’s m aritime emergency patients in dynamic: ARIMA model, SARIMA model, and dynamic .. .)
Sichuan University Researchers Publish New Studies and Findings in the Area of M achine Learning (Statistical machine learning models for prediction of China’s m aritime emergency patients in dynamic: ARIMA model, SARIMA model, and dynamic .. .)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators publish new report on artificial in telligence. According to news reporting fromChengdu, People’s Republic of China , by NewsRx journalists, research stated, “IntroductionRescuing individuals at s ea is a pressing global public health issue, garnering substantial attention fro m emergencymedicine researchers with a focus on improving prevention and contro l strategies. This study aimsto develop a Dynamic Bayesian Networks (DBN) model utilizing maritime emergency incident data andcompare its forecasting accuracy to Auto-regressive Integrated Moving Average (ARIMA) and SeasonalAuto-regressi ve Integrated Moving Average (SARIMA) models. MethodsIn this research, we analyz ed thecount of cases managed by five hospitals in Hainan Province from January 2016 to December 2020 in thecontext of maritime emergency care.”
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