Using Sequential Decision Making to Improve Lung Cancer Screening Performance

Using Sequential Decision Making to Improve Lung Cancer Screening Performance

Globally, lung cancer is responsible for nearly one in five cancer deaths. The National Lung Screening Trial (NLST) demonstrated the efficacy of low-dose computed tomography (LDCT) to identify early-stage disease, setting the basis for widespread implementation of lung cancer screening programs. How...

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Bibliographic Details
Main Authors: Panayiotis Petousis, Audrey Winter, William Speier, Denise R. Aberle, William Hsu, Alex A. T. Bui
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Early disease prediction
dynamic Bayesian networks
lung cancer screening
partially observable Markov decision processes
QMDP algorithm
Online Access:https://ieeexplore.ieee.org/document/8804175/

Internet

https://ieeexplore.ieee.org/document/8804175/

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