Evaluating Measles Incidence Rates Using Machine Learning and Time Series Methods in the Center of Iran, 1997-2020

• Main Authors: Javad Nazari (Author), Parnia-Sadat Fathi (Author), Nahid Sharahi (Author), Majid Taheri (Author), Payam Amini (Author), Amir Almasi-Hashiani (Author)
• 格式: 圖書
• 出版: Tehran University of Medical Sciences, 2022-04-01T00:00:00Z.
• 主題: article
• 在線閱讀: Connect to this object online.

Background: Measles is a feverish condition labeled among the most infectious viral illnesses in the globe. Despite the presence of a secure, accessible, affordable and efficient vaccine, measles continues to be a worldwide concern. Methods: This epidemiologic study used machine learning and time se...