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Developing a Stacked Ensemble-Based Classification Scheme to Predict Second Primary Cancers in Head and Neck Cancer Survivors

Despite a considerable expansion in the present therapeutic repertoire for other malignancy managements, mortality from head and neck cancer (HNC) has not significantly improved in recent decades. Moreover, the second primary cancer (SPC) diagnoses increased in patients with HNC, but studies providi...

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Autores principales: Chang, Chi-Chang, Huang, Tse-Hung, Shueng, Pei-Wei, Chen, Ssu-Han, Chen, Chun-Chia, Lu, Chi-Jie, Tseng, Yi-Ju
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8657249/
https://www.ncbi.nlm.nih.gov/pubmed/34886225
http://dx.doi.org/10.3390/ijerph182312499
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author Chang, Chi-Chang
Huang, Tse-Hung
Shueng, Pei-Wei
Chen, Ssu-Han
Chen, Chun-Chia
Lu, Chi-Jie
Tseng, Yi-Ju
author_facet Chang, Chi-Chang
Huang, Tse-Hung
Shueng, Pei-Wei
Chen, Ssu-Han
Chen, Chun-Chia
Lu, Chi-Jie
Tseng, Yi-Ju
author_sort Chang, Chi-Chang
collection PubMed
description Despite a considerable expansion in the present therapeutic repertoire for other malignancy managements, mortality from head and neck cancer (HNC) has not significantly improved in recent decades. Moreover, the second primary cancer (SPC) diagnoses increased in patients with HNC, but studies providing evidence to support SPCs prediction in HNC are lacking. Several base classifiers are integrated forming an ensemble meta-classifier using a stacked ensemble method to predict SPCs and find out relevant risk features in patients with HNC. The balanced accuracy and area under the curve (AUC) are over 0.761 and 0.847, with an approximately 2% and 3% increase, respectively, compared to the best individual base classifier. Our study found the top six ensemble risk features, such as body mass index, primary site of HNC, clinical nodal (N) status, primary site surgical margins, sex, and pathologic nodal (N) status. This will help clinicians screen HNC survivors before SPCs occur.
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spelling pubmed-86572492021-12-10 Developing a Stacked Ensemble-Based Classification Scheme to Predict Second Primary Cancers in Head and Neck Cancer Survivors Chang, Chi-Chang Huang, Tse-Hung Shueng, Pei-Wei Chen, Ssu-Han Chen, Chun-Chia Lu, Chi-Jie Tseng, Yi-Ju Int J Environ Res Public Health Article Despite a considerable expansion in the present therapeutic repertoire for other malignancy managements, mortality from head and neck cancer (HNC) has not significantly improved in recent decades. Moreover, the second primary cancer (SPC) diagnoses increased in patients with HNC, but studies providing evidence to support SPCs prediction in HNC are lacking. Several base classifiers are integrated forming an ensemble meta-classifier using a stacked ensemble method to predict SPCs and find out relevant risk features in patients with HNC. The balanced accuracy and area under the curve (AUC) are over 0.761 and 0.847, with an approximately 2% and 3% increase, respectively, compared to the best individual base classifier. Our study found the top six ensemble risk features, such as body mass index, primary site of HNC, clinical nodal (N) status, primary site surgical margins, sex, and pathologic nodal (N) status. This will help clinicians screen HNC survivors before SPCs occur. MDPI 2021-11-27 /pmc/articles/PMC8657249/ /pubmed/34886225 http://dx.doi.org/10.3390/ijerph182312499 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Chang, Chi-Chang
Huang, Tse-Hung
Shueng, Pei-Wei
Chen, Ssu-Han
Chen, Chun-Chia
Lu, Chi-Jie
Tseng, Yi-Ju
Developing a Stacked Ensemble-Based Classification Scheme to Predict Second Primary Cancers in Head and Neck Cancer Survivors
title Developing a Stacked Ensemble-Based Classification Scheme to Predict Second Primary Cancers in Head and Neck Cancer Survivors
title_full Developing a Stacked Ensemble-Based Classification Scheme to Predict Second Primary Cancers in Head and Neck Cancer Survivors
title_fullStr Developing a Stacked Ensemble-Based Classification Scheme to Predict Second Primary Cancers in Head and Neck Cancer Survivors
title_full_unstemmed Developing a Stacked Ensemble-Based Classification Scheme to Predict Second Primary Cancers in Head and Neck Cancer Survivors
title_short Developing a Stacked Ensemble-Based Classification Scheme to Predict Second Primary Cancers in Head and Neck Cancer Survivors
title_sort developing a stacked ensemble-based classification scheme to predict second primary cancers in head and neck cancer survivors
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8657249/
https://www.ncbi.nlm.nih.gov/pubmed/34886225
http://dx.doi.org/10.3390/ijerph182312499
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