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Clinical Machine Learning Model for Predicting Pathological Complete Response in Patients with Esophageal and Gastroesophageal Junction Adenocarcinoma After Trimodality Therapy

Title: Clinical Machine Learning Model for Predicting Pathological Complete Response in Patients with Esophageal and Gastroesophageal Junction Adenocarcinoma After Trimodality Therapy
Authors: Yamashita, KoheiAff1, Aff2; Kwiatkowski, EvanAff3; Sewastjanow-Silva, MatheusAff1; Rogers, Jane E.Aff4; Yoshimura, KatsuhiroAff1; Pizzi, Melissa PoolAff1; Gan, QiongAff5; Li, Jenny J.Aff1; Waters, Rebecca E.Aff5; Murphy, Mariela BlumAff1; Iwatsuki, MasaakiAff2; Hofstetter, Wayne L.Aff6; Chen, AileenAff7; Yuan, YingAff8; Ajani, Jaffer A.Aff1, IDs10434026195576_cor1
Source: Annals of Surgical Oncology. 33(8):7133-7141
Database: Springer Nature Journals