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Multi-criterion Intelligent Decision Support system for COVID-19

  • Published:2021-03 Issue: Volume:101 Page:107056
  • ISSN:1568-4946
  • Container-title:Applied Soft Computing
  • language:en
  • Short-container-title:Applied Soft Computing

Author:

Aggarwal Lakshita,Goswami Puneet,Sachdeva Shelly

Publisher

Elsevier BV

Subject

Software

Reference44 articles.

1. Laboratory data analysis of novel coronavirus (COVID-19) screening in 2510 Patients;Yun;Clin. Chim. Acta,2019

2. Propagation analysis and prediction of the COVID-19;Li;Infect. Dis. Modell.,2020

3. Review of the clinical characteristics of coronavirus disease 2019 (COVID- 19);Jiang;J. Gen. Intern. Med.,2020

4. Clinical decision-support systems;Musen;Biomed. Inform.,2014

5. COVID-19 in India: State-wise analysis and prediction;Ghosh1,2020

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1. Intelligent Recognition of Multimodal Human Activities for Personal Healthcare;IEEE Access;2024

2. Naïve Bayes for Health-Status Predictive Monitoring in COVID-19: Leveraging Drugs and Diagnoses;Lecture Notes in Computer Science;2024

3. COVID-19 Pandemisinin Kompartman Modelleri: Sistematik Bir Literatür Taraması;Bayburt Üniversitesi Fen Bilimleri Dergisi;2023-12-31

4. Integrated Decision-Making for Industrial Site Selection: Combining AHP, COPRAS and Spatial Approaches;2023 International Conference on Technology, Engineering, and Computing Applications (ICTECA);2023-12-20

5. Efficient Support System for Hearing Disabled using CNN;2023 5th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N);2023-12-15
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