BACKGROUND Hepatitis B (HB) is a major global mortality. Accurately predicting the trend of the disease can provide an appropriate view to make health policy disease prevention. This paper aimed to apply three different to predict monthly incidence rates of HB. METHODS This historical cohort study was conducted on the HB incidence data of Hamadan Province, the west of Iran, from 2004 to 2012....

Swarm intelligence (SI) is widely and successfully applied in the engineering field to solve practical optimization problems because various hybrid models, which are based on the SI algorithm and statistical models, are developed to further improve the predictive abilities. In this paper, hybrid intelligent forecasting models based on the cuckoo search (CS) as well as the singular spectrum anal...

The majority of greenhouse gas (GHG) effects are caused by very high levels carbon emissions in the world. Therefore, it is necessary to take action control In this study, world's emission were forecasted based on time series data from 1949 2018 North America. This study uses 2 forecasting methods, namely SARIMA and LSTM, with consideration that both methods considered capable providing good re...

The Sarima model is used in this study to forecast the monthly temperature Ghana's northern region. researchers data from January 1990 December 2020. was found be stationary using Augmented Dickey Fuller (ADF) test. ACF and PACF plots proposed six SARIMA models: (1,0,0) (12), (2,0,0) (1,0,1) (0,0,1) (12). best chosen based on lowest Akaike Information Criteria (AICs) Bayesian (BIC) values. Ljun...

Unit Donor Darah (UDD) Kota Madiun melayani transfusi darah sekaligus menyediakan dari permintaan yang berasal Bank Rumah Sakit (BDRS) maupun langsung di wilayah dan sekitarnya. Pada tahun 2020, UDD telah berhasil memenuhi 97% darah, namun karena penyebaran virus Covid-19 semakin meluas maka diperlukan peramalan sampai akhir 2021. Berdasarkan analisis data pada sebelumnya diperoleh model terbai...

Traditional statistical analysis of network data is often employed to determine traffic distribution, to summarize user’s behavior patterns, or to predict future network traffic. Mining of network data may be used to discover hidden user groups, to detect payment fraud, or to identify network abnormalities. In our research we combine traditional traffic analysis with data mining technique. We a...