Bayesian Assessment of Diagnostic Strategy for a Thyroid Nodule Involving a Combination of Clinical Synthetic Features and Molecular Data

Bayesian Assessment of Diagnostic Strategy for a Thyroid Nodule Involving a Combination of Clinical Synthetic Features and Molecular Data

The use of machine learning has increased over the years, especially in the world of molecular data. Generally, the inference of relationships between features is determined by statistical models. The phenotype (observable clinical characteristics) can result from the expression of the genotype (gen...

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Bibliographic Details
Main Authors: Aleksander Placzek, Alicja Pluciennik, Agnieszka Kotecka-Blicharz, Michal Jarzab, Dariusz Mrozek
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Bayesian networks
feature integration
synthetic features
Markov blankets
Quality of features
thyroid cancer
Online Access:https://ieeexplore.ieee.org/document/9205860/

Internet

https://ieeexplore.ieee.org/document/9205860/

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