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, Masahiro1,8 (AUTHOR)
Zdroj: Learning Health Systems. Oct2024, p1. 11p. 7 Illustrations.
Databáze: Academic Search Ultimate
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