A Data-Driven Decision Support System for Scoliosis Prognosis

A Data-Driven Decision Support System for Scoliosis Prognosis

A decision support system with data-driven methods is of great significance for the prognosis of scoliosis. However, developing an accurate and interpretable data-driven decision support system is challenging: 1) the scoliosis data collected from clinical environments is heterogeneous, unstructured,...

Full description

Bibliographic Details
Main Authors: Liming Deng, Yong Hu, Jason Pui Yin Cheung, Keith Dip Kei Luk
Format: Article
Language:English
Published: IEEE 2017-01-01
Series:IEEE Access
Subjects:
Scoliosis prognosis
missing values
feature selection
decision support system
data-driven method
Online Access:https://ieeexplore.ieee.org/document/7907219/

Similar Items

Similar Items