Uncovering Key Features for Predicting Comorbid Chronic Eosinophilic Pneumonia in Chronic Rhinosinusitis via Machine Learning.

Journal: International forum of allergy & rhinology
Published Date:

Abstract

BACKGROUND: Chronic eosinophilic pneumonia (CEP) can occur concurrently with chronic rhinosinusitis (CRS). However, crucial features of comorbid CEP in patients with CRS remain unclear.

Authors

  • Masaaki Ishikawa
    Department of Otolaryngology, Head and Neck Surgery, Hyogo Prefectural Amagasaki General Medical Center, Amagasaki, Japan.
  • Zhiqian Jiang
    Bioinformatics Center, Institute for Chemical Research, Kyoto University, Kyoto, Japan.
  • Canh Hao Nguyen
    Bioinformatics Center, Institute for Chemical Research, Kyoto University, Uji, Japan.
  • Hiroatsu Hatsukawa
    Department of Otolaryngology, Head and Neck Surgery, Hyogo Prefectural Amagasaki General Medical Center, Amagasaki, Japan.
  • Tomoyuki Hirai
    Department of Respirology, Hyogo Prefectural Amagasaki General Medical Center, Amagasaki, Japan.
  • Hirotaka Matsumoto
    Laboratory for Bioinformatics Research, RIKEN Center for Biosystems Dynamics Research.
  • Emiko Saito
    Department of Respirology, Hyogo Prefectural Amagasaki General Medical Center, Amagasaki, Japan.
  • Kouya Okazaki
    Department of Respirology, Hyogo Prefectural Amagasaki General Medical Center, Amagasaki, Japan.
  • Kazuo Endo
    Department of Respirology, Hyogo Prefectural Amagasaki General Medical Center, Amagasaki, Japan.
  • Satoru Terada
    Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
  • Hiroshi Mamitsuka
    Bioinformatics Center, Institute of Chemical Research, Kyoto University, Uji, Kyoto, 611 - 0011, Japan.

Keywords

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