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Development of Pneumonia Patient Classification Model Using Fair Federated Learning

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Intelligent Human Computer Interaction (IHCI 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14531))

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Abstract

Worldwide, pneumonia has been a major problem for the past few centuries. Currently, medical staff are having a hard time due to the increase in COVID-19 in many countries. Chest X-ray is the most common method for screening and diagnosing chest diseases. However, there are difficulties in building the model due to data confidentiality between patients and hospitals and problems with collecting large amounts of data within hospitals. As a solution to this, we propose FFLFCN, which uses federated learning and deep learning to diagnose pneumonia. FFLFCN built a central model by training local models in multiple hospitals with their own data while maintaining the privacy of patient data. In this paper we aim to inspire federated learning research for pneumonia patients using FFLFCN, and achieve improved AUC and shorter learning time than before.

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Acknowledgment

“This paper is supported by Korean Agency for Technology and Standards under Ministry of Trade, Industry and Energy in 2023” (project title: Establishment of standardization basis for BCI and AI Interoperability, 20022362).

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Authors and Affiliations

  1. Gachon University, 1342, Seongnam-daero, Sujeong-gu, Seongnam, Gyeonggi-do, 13120, Republic of Korea

    Do-hyoung Kim, Kyoungsu Oh, Seok-hwan Kang & Youngho Lee

Authors
  1. Do-hyoung Kim
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  2. Kyoungsu Oh
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  3. Seok-hwan Kang
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  4. Youngho Lee
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Corresponding author

Correspondence to Do-hyoung Kim .

Editor information

Editors and Affiliations

  1. Soongsil University, Seoul, Korea (Republic of)

    Bong Jun Choi

  2. Saint Louis University, St. Louis, MO, USA

    Dhananjay Singh

  3. Indian Institute of Information Technology, Allahabad, India

    Uma Shanker Tiwary

  4. Pukyong National University, Busan, Korea (Republic of)

    Wan-Young Chung

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Kim, Dh., Oh, K., Kang, Sh., Lee, Y. (2024). Development of Pneumonia Patient Classification Model Using Fair Federated Learning. In: Choi, B.J., Singh, D., Tiwary, U.S., Chung, WY. (eds) Intelligent Human Computer Interaction. IHCI 2023. Lecture Notes in Computer Science, vol 14531. Springer, Cham. https://doi.org/10.1007/978-3-031-53827-8_15

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  • DOI: https://doi.org/10.1007/978-3-031-53827-8_15

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-53826-1

  • Online ISBN: 978-3-031-53827-8

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