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COVID-19 Severity Prediction in Patients Based on Anomaly Detection Approach

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Proceedings of Sixth International Congress on Information and Communication Technology

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 235))

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References

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Acknowledgments

The authors would like to thank the staff of the Medical Centre involved in the study for collecting patients’ data. They would like to thank Dr. Khamid Kasimov for performing external testing, Maksim Bolonkin for the discussion, ideas of possible models to use, and language correction.

Funding

Funding is expected from the Ministry of Innovation Technologies of Uzbekistan.

Author information

Authors and Affiliations

  1. Institute of Mathematics, Mirzo Ulugbek street 81, Tashkent, Uzbekistan, 100170

    Alisher Ikramov & Fatima Adilova

  2. Republican Scientific Centre for Emergency Medicine, Kichik halqa yuli 2, Tashkent, Uzbekistan, 100081

    Khikmat Anvarov & Abduhakim Khadjibaev

Authors
  1. Alisher Ikramov
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  2. Fatima Adilova
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  3. Khikmat Anvarov
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  4. Abduhakim Khadjibaev
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Contributions

AK and KA organized work on data collection, data verification, task formulation. FA analyzed the data, reviewed existing models and publications. AI developed, trained, and evaluated models, performed data processing, and programmed the resulting software.

Corresponding author

Correspondence to Alisher Ikramov .

Editor information

Editors and Affiliations

  1. Middlesex University, London, UK

    Xin-She Yang

  2. University of Reading, Reading, UK

    Simon Sherratt

  3. JIS University, Kolkata, India

    Nilanjan Dey

  4. Global Knowledge Research Foundation, Ahmedabad, India

    Amit Joshi

Ethics declarations

The authors declare that they have no common competing interests.

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© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Ikramov, A., Adilova, F., Anvarov, K., Khadjibaev, A. (2022). COVID-19 Severity Prediction in Patients Based on Anomaly Detection Approach. In: Yang, XS., Sherratt, S., Dey, N., Joshi, A. (eds) Proceedings of Sixth International Congress on Information and Communication Technology. Lecture Notes in Networks and Systems, vol 235. Springer, Singapore. https://doi.org/10.1007/978-981-16-2377-6_56

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