International Journal of Engineering and Information Systems (IJEAIS)   Year: 2021 | Volume: 5 | Issue: 11 | Page No.: 93-105 Using Analysis of Time Series to Forecast Numbers of the Patients with Ovary Cancer in Gezira State – Suda Dr .Khansa Omer Edrees Ahmed Abstract: Abstract: The aim of this study is to analysis time series with using (Box - Jenkins) method (Identification, Estimation, Diagnostic checking of model, Forecasting). To find the best forecasting model to the number of patients with ovary cancer in Gezira State by using yearly data for the period ( 2005 - 2020 ) . The result of data analysis show the suitable model is Integrated Autoregressive model (ARIMA 1,0,0). According to this model the research forecast the number of patients with ovary cancer next six years, so the forecasting values represented the scours time series data that deal to the efficiency of the model.