Bayesian prognosis analysis of human papillomavirus-associated head and neck cancer using hierarchical Dirichlet process mixture models-Reference-Cited by-同舟云学术

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Bayesian prognosis analysis of human papillomavirus-associated head and neck cancer using hierarchical Dirichlet process mixture models

Published:2023-09-11 Issue: Volume: Page:1-15
ISSN:2472-5854
Container-title:IISE Transactions
language:en
Short-container-title:IISE Transactions

Author:

Liao Ying¹,Dong Ning²,Xiang Yisha³

Affiliation:

1. Department of Management Science and Engineering, Wuhan University, Wuhan, China

2. Department of Industrial, Manufacturing & Systems Engineering, Texas Tech University, Lubbock, TX, USA

3. Department of Industrial Engineering, University of Houston, Houston, TX, USA

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/24725854.2023.2247047

Reference27 articles.

1. Towards clinically more relevant dissection of patient heterogeneity via survival-based Bayesian clustering

2. Survival Predictors of Head and Neck Burkitt’s Lymphoma: An Analysis of the SEER Database

3. Clinical update on head and neck cancer: molecular biology and ongoing challenges

4. Ferguson Distributions Via Polya Urn Schemes

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1. Bayesian Probability Intelligent Forecasting Model Based on Rainfall during Flood Season;2024 5th International Conference on Information Science, Parallel and Distributed Systems (ISPDS);2024-05-31

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