EXPONENTIALLY INCREASING TREND OF INFECTED PATIENTS WITH COVID-19 IN IRAN: A COMPARISON OF NEURAL NETWORK AND ARIMA FORECASTING MODELS

Exponentially Increasing Trend of Infected Patients with COVID-19 in Iran: A Comparison of Neural Network and ARIMA Forecasting Models

Background: The outbreak of COVID-19 is rapidly spreading around the world and became a pandemic disease.For help to better planning of interventions, this study was conducted to forecast the number of daily new infected cirque colors lavender sky cases with COVID-19 for next thirty days in Iran.Methods: The information of observed Iranian new case

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Clinical Value of Seven Autoantibodies Against Tumor-Associated Antigens and Tumor Markers in Lung Cancer Patients: A Retrospective Analysis from a Single Institution

Background: Lung cancer screening is not limited to low dose computed tomography (LDCT).Recently, molecular biomarkers have been shown to have the potential to improve the current state of early lung cancer detection.The current study determined the efficiency of seven autoantibodies against tumor-associated antigens (7-AABs) and tumor markers in p

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Control of tectonic evolution on karstification and karst collapse in the Lianzhou Basin, northwestern Guangdong Province

Objective There is still a lack of systematic understanding doughlish of the evolution process of the Lianzhou Basin since the Mesozoic and its response to karstic development.Methods Based on the comprehensive analysis of the latest field geological investigations, hydrogeological drilling, dissolution experiments, and three-dimensional geological

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