Application of Deep Learning Models to Realize the Prediction of Covid-19 Case Changes and the Prediction of Antiviral Drug Administration

  • Gong, Cihun-Siyong (PI)

Project: National Science and Technology CouncilNational Science and Technology Council Academic Grants

Project Details

Abstract

1此計畫以實際台灣地區COVID-19疫情歷史數據狀況,建立回歸模型及深度學習模型,可提早預知未來某一週期內台灣地區COVID-19疫情變化。2對於台灣地區COVID-19疫情狀況,將可有效預測,對於企業管理、社會等機構營運,更有實質參考依據。3除預測台灣疫情外,可延伸為每縣市疫情預測,有效地進行醫療量能分配管理,以利降低中重症及死亡人數。4本計畫以分析與彙整每日抗病毒藥物之投藥情形,並搭配深度學習預測演算法,整合雲端數據庫,預測某地區之重症與死亡病例與優化投藥抗病毒藥物情況。5此計畫以大數據、AI深度學習方法導入與建置商轉為目的,所有數據蒐集均為每日疫情狀況等實

Project IDs

Project ID:PB11207-2718
External Project ID:NSTC112-2221-E182-044
StatusFinished
Effective start/end date01/08/2331/07/24

Keywords

  • COVID-19
  • Antiviral Drugs
  • AI
  • ARIMA
  • VAR
  • VEC
  • LSTM
  • DNN
  • CNN
  • Preventive Healthcare

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