Artificial Intelligence Mortality Prediction Model for Gastric Cancer Surgery Based on Body Morphometry, Nutritional, and Surgical Information: Feasibility Study

Artificial Intelligence Mortality Prediction Model for Gastric Cancer Surgery Based on Body Morphometry, Nutritional, and Surgical Information: Feasibility Study

The objective of this study is to develop a mortality prediction model for patients undergoing gastric cancer surgery based on body morphometry, nutritional, and surgical information. Using a prospectively built gastric surgery registry from the Asan Medical Center (AMC), 621 gastric cancer patients...

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Bibliographic Details
Main Authors: Yousun Ko, Hooyoung Shin, Juneseuk Shin, Hoon Hur, Jimi Huh, Taeyong Park, Kyung Won Kim, In-Seob Lee
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Applied Sciences
Subjects:
body composition
deep learning
gastrectomy
Online Access:https://www.mdpi.com/2076-3417/12/8/3873

Internet

https://www.mdpi.com/2076-3417/12/8/3873

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