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
基于数据驱动的肺癌胸腔镜手术后持续性漏气预测：利用ePath系统，通过真实世界数据开发和验证基于机器学习的模型
期刊:
影响因子:
doi:10.1002/lrh2.10469
Tou, Saori; Matsumoto, Koutarou; Hashinokuchi, Asato; Kinoshita, Fumihiko; Nakaguma, Hideki; Kozuma, Yukio; Sugeta, Rui; Nohara, Yasunobu; Yamashita, Takanori; Wakata, Yoshifumi; Takenaka, Tomoyoshi; Iwatani, Kazunori; Soejima, Hidehisa; Yoshizumi, Tomoharu; Nakashima, Naoki; Kamouchi, Masahiro
