Publications by authors named "Zahra Mohamadi Taghiabad"

Article Synopsis
  • Timely prediction and management of COVID-19 are crucial to avoid serious health system problems and patient mortality.
  • Data mining techniques were employed to analyze factors contributing to COVID-19 mortality, using information extracted from 850 medical records and confirmed by specialists.
  • The random forest model proved to be the most effective in predicting patient mortality, achieving high accuracy and precision, followed by other models like KNN and MLP, highlighting the importance of data analysis in improving treatment outcomes.
View Article and Find Full Text PDF