Development of a machine learning-based risk model for postoperative complications of lung cancer surgery.

Journal: Surgery today
PMID:

Abstract

PURPOSE: To develop a comorbidity risk score specifically for lung resection surgeries.

Authors

  • Yuka Kadomatsu
  • Ryo Emoto
    Department of Biostatistics, Nagoya University Graduate School of Medicine, Nagoya, Japan.
  • Yoko Kubo
    Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan.
  • Keita Nakanishi
    Department of Thoracic Surgery, Aichi Cancer Center Hospital, Nagoya, Japan.
  • Harushi Ueno
    Department of Thoracic Surgery, Aichi Cancer Center Hospital, Nagoya, Japan.
  • Taketo Kato
  • Shota Nakamura
    Department of Thoracic Surgery, Nagoya University, Nagoya, Japan.
  • Tetsuya Mizuno
    Department of Thoracic Surgery, Nagoya University Graduate School of Medicine, 65 Tsurumai-Cho, Showa-Ku, Nagoya, 466-8550, Japan.
  • Shigeyuki Matsui
    Department of Biostatistics, Nagoya University Graduate School of Medicine, Nagoya, Japan.
  • Toyofumi Fengshi Chen-Yoshikawa
    Department of Thoracic Surgery, Nagoya University Graduate School of Medicine, 65 Tsurumai-Cho, Showa-Ku, Nagoya, 466-8550, Japan.