Data‐driven prediction of prolonged air leak after video‐assisted thoracoscopic surgery for lung cancer: Development and validation of machine‐learning‐based models using real‐world data through the ePath system.

Autor: Tou, Saori¹ (AUTHOR), Matsumoto, Koutarou¹ (AUTHOR) matsumoto.kotaro.251@m.kyushu-u.ac.jp, Hashinokuchi, Asato² (AUTHOR), Kinoshita, Fumihiko² (AUTHOR), Nakaguma, Hideki³ (AUTHOR), Kozuma, Yukio³ (AUTHOR), Sugeta, Rui³ (AUTHOR), Nohara, Yasunobu⁴ (AUTHOR), Yamashita, Takanori⁵ (AUTHOR), Wakata, Yoshifumi⁶ (AUTHOR), Takenaka, Tomoyoshi² (AUTHOR), Iwatani, Kazunori⁷ (AUTHOR), Soejima, Hidehisa³ (AUTHOR), Yoshizumi, Tomoharu² (AUTHOR), Nakashima, Naoki⁵ (AUTHOR), Kamouchi, Masahiro^1,8 (AUTHOR)

Publikováno v: Learning Health Systems. Oct2024, p1. 11p. 7 Illustrations.