Machine-Learning-Based Digital Twin System for Predicting the Progression of Prostate Cancer

Machine-Learning-Based Digital Twin System for Predicting the Progression of Prostate Cancer

Clinical decision support systems (CDSSs) enable users to make decisions based on clinical data from electronic medical records, facilitating personalized precision medicine treatments. A digital twin (DT) approach enables the interoperability between physical and virtual environments through data a...

Full description

Bibliographic Details
Main Authors: Jae-Kwon Kim, Sun-Jung Lee, Sung-Hoo Hong, In-Young Choi
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Applied Sciences
Subjects:
digital twin
machine learning
prostate cancer
pathology stage
biochemical recurrence
Online Access:https://www.mdpi.com/2076-3417/12/16/8156

Similar Items

Similar Items