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The Covid-19 Decision Support System (C19DSS) – A Mobile App

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Practical Applications of Computational Biology and Bioinformatics, 16th International Conference (PACBB 2022) (PACBB 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 553))

Abstract

The COVID-19 pandemic remains a concrete challenge, especially in communities and rural areas where health resources are scarce. We recently developed several classifiers, useful to predict safe discharge, disease severity, and mortality risk from COVID-19, fed by routine analyses collected in the Emergency Department. In this paper, we discuss a system, made up of an app and a server, that enables doctors to use these models during the management of COVID-19 patients. The app has been developed involving the doctors since the early phases of the app design, then revised in the light of two usability cycles. We report its main features and its ease of use. So far, it has been used during the fourth wave, producing accurate results with patients that did not complete the vaccination protocol (i.e., up to the second dose).

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Notes

  1. 1.

    P/F (PaO\(_2\)/FIO\(_2\)) = Oxygenation Index, NLR = Neutrophil-to-Lymphocyte Ratio, PLR = Platelet-to-Lymphocyte Ratio.

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Author information

Authors and Affiliations

  1. University of L’Aquila, L’Aquila, 67100, Italy

    Pierpaolo Vittorini, Nicolò Casano, Gaia Sinatti, Silvano Junior Santini & Clara Balsano

Authors
  1. Pierpaolo Vittorini
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  2. Nicolò Casano
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  3. Gaia Sinatti
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  4. Silvano Junior Santini
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  5. Clara Balsano
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Corresponding author

Correspondence to Pierpaolo Vittorini .

Editor information

Editors and Affiliations

  1. Computer Science Department, Universidad de Vigo, Vigo, Spain

    Florentino Fdez-Riverola

  2. Campus de Gualtar, Universidade do Minho, Braga, Portugal

    Miguel Rocha

  3. College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, Abu Dhabi, United Arab Emirates

    Mohd Saberi Mohamad

  4. Gheorghe Asachi Technical University of Iași, Iași, Romania

    Simona Caraiman

  5. Edificio I+D+i, University of Salamanca, Salamanca, Spain

    Ana Belén Gil-González

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Vittorini, P., Casano, N., Sinatti, G., Santini, S.J., Balsano, C. (2023). The Covid-19 Decision Support System (C19DSS) – A Mobile App. In: Fdez-Riverola, F., Rocha, M., Mohamad, M.S., Caraiman, S., Gil-González, A.B. (eds) Practical Applications of Computational Biology and Bioinformatics, 16th International Conference (PACBB 2022). PACBB 2022. Lecture Notes in Networks and Systems, vol 553. Springer, Cham. https://doi.org/10.1007/978-3-031-17024-9_3

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