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Clinical Features in Predicting COVID-19

Author

Listed:
  • Balzanelli GM
  • Distratis P
  • Amatulli F
  • Catucci O
  • Cefalo A
  • D’Angela G
  • Lazzaro R
  • Palazzo D

    (SET-118, Department of Pre-hospital and Emergency SG Giuseppe Moscati Hospital, Taranto City, 74100, Italy)

  • Aityan KS

    (Department of Multidisciplnary Research Centre, Lincoln University, Oakland CA, 94612, USA)

  • Dipalma G
  • Inchingolo F

    (†Aldo Moro†Unversity of Bari School of Medicine D.I.M. (Department of Interdisciplinary Medicine), Bari City, 70125, Italy)

  • Nguyen KCD

    (American Stem Cells Hospital and Human Stem cells Institute, Ho Chi Minh City, 70000, Vietnam)

  • Pham HV

    (Phan Chau Trinh University of Medicine and Nam-Khoa Biotek, Ho Chi Minh City, 50000, Vietnam)

  • Tomassone D

    (Nutritherapy Research Center, Urbino City, 10098, Italy)

  • Tran Cong T

    (Pham Ngoc Thach University of Medicine, Department of Histology, Embryology and Genetics, Ho Chi Minh City, 70000, Vietnam)

  • Gargiulo Isacco C

    (SET-118, Department of Pre-hospital and Emergency SG Giuseppe Moscati Hospital, Taranto City, 74100, Italy
    †Aldo Moro†Unversity of Bari School of Medicine D.I.M. (Department of Interdisciplinary Medicine), Bari City, 70125, Italy
    American Stem Cells Hospital and Human Stem cells Institute, Ho Chi Minh City, 70000, Vietnam)

Abstract

The coronavirus COVID-19 disease is being a hard task for emergency care units worldwide due to the uncharacteristic...

Suggested Citation

  • Balzanelli GM & Distratis P & Amatulli F & Catucci O & Cefalo A & D’Angela G & Lazzaro R & Palazzo D & Aityan KS & Dipalma G & Inchingolo F & Nguyen KCD & Pham HV & Tomassone D & Tran Cong T & Gargi, 2020. "Clinical Features in Predicting COVID-19," Biomedical Journal of Scientific & Technical Research, Biomedical Research Network+, LLC, vol. 29(5), pages 22921-22926, August.
    • Handle: RePEc:abf:journl:v:29:y:2020:i:5:p:22921-22926
    DOI: 10.26717/BJSTR.2020.29.004873
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    Cited by:

    1. Xia, Min & Shao, Haidong & Williams, Darren & Lu, Siliang & Shu, Lei & de Silva, Clarence W., 2021. "Intelligent fault diagnosis of machinery using digital twin-assisted deep transfer learning," Reliability Engineering and System Safety, Elsevier, vol. 215(C).

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