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A Neural System for Acute Disease Detection from Facial Images

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Advances in Intelligent Networking and Collaborative Systems (INCoS 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 527))

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Abstract

The COVID-19 pandemic significantly changed the way people work and interact. The periods of lockdown prevented in many cases physical interaction and affected all aspects of human life, including healthcare. Non-acute treatment and preventive health appointments were often postponed, which has negative effects on the health of the general population. On the other hand, the use of various online videoconferencing services has grown rapidly. They deal with large amounts of video data, often capturing the faces of individuals. This is an opportunity for decision support systems that can determine the health conditions of individuals on the basis of facial images. In this work, we design and evaluate an artificial neural network-based system for acute disease detection from facial images.

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Acknowledgments

This work is partially supported by Grants of SGS No. SP2022/81, SP2022/12, and SP2022/77, VSB - Technical University of Ostrava, Czech Republic.

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Authors and Affiliations

  1. Department of Computer Science, VSB-Technical University of Ostrava, 17. listopadu 15, 70800, Ostrava, Czech Republic

    Radovan Fusek & Pavel Krömer

Authors
  1. Radovan Fusek
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  2. Pavel Krömer
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Corresponding author

Correspondence to Pavel Krömer .

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Editors and Affiliations

  1. Department of Information and Communication Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  2. School of Science and Technology, Kwansei Gakuin University, Sanda, Japan

    Hiroyoshi Miwa

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Fusek, R., Krömer, P. (2022). A Neural System for Acute Disease Detection from Facial Images. In: Barolli, L., Miwa, H. (eds) Advances in Intelligent Networking and Collaborative Systems. INCoS 2022. Lecture Notes in Networks and Systems, vol 527. Springer, Cham. https://doi.org/10.1007/978-3-031-14627-5_42

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