Open AccessUsing Support Vector Machine "SVM" and Autoregressive Integrated Moving Average "ARIMA" to predict number of males and females who will be have Stroke at European Gaza Hospital
Author(s) -
Khaled I.A. Almghari,
Adnan Elsibakhi
Publication year - 2019
Publication title -
التحديات الجيوفيزيائية والاجتماعية والانسانية والطبيعية في بيئة متغيرة
Language(s) - English
Resource type - Conference proceedings
DOI - 10.24897/acn.64.68.405
Subject(s) - autoregressive integrated moving average , stroke (engine) , gaza strip , support vector machine , christian ministry , medicine , emergency medicine , statistics , time series , computer science , artificial intelligence , mathematics , engineering , palestine , mechanical engineering , ancient history , philosophy , theology , history
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