Integration of IDPC Clustering Analysis and Interpretable Machine Learning for Survival Risk Prediction of Patients with ESCC-Reference-Cited by-同舟云学术

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Integration of IDPC Clustering Analysis and Interpretable Machine Learning for Survival Risk Prediction of Patients with ESCC

Published:2023-05-30 Issue:3 Volume:15 Page:480-498
ISSN:1913-2751
Container-title:Interdisciplinary Sciences: Computational Life Sciences
language:en
Short-container-title:Interdiscip Sci Comput Life Sci

Author:

Ling Dan,Liu Anhao,Sun Junwei,Wang Yanfeng^ORCID,Wang Lidong,Song Xin,Zhao Xueke

Funder

The National Key Research and Development Program of China for International S and T Cooperation Projects

The Open Fund of State Key Laboratory of Esophageal Cancer Prevention & Treatment

The Promotion Special Project - Science and Technology in Henan Province

The Key Scientific Research Project of Colleges and Universities in Henan Province

Publisher

Springer Science and Business Media LLC

Subject

Health Informatics,Computer Science Applications,General Biochemistry, Genetics and Molecular Biology

Link

https://link.springer.com/content/pdf/10.1007/s12539-023-00569-9.pdf

Reference59 articles.

1. Zhang S, Guo L, Chen Q et al (2015) The association between human papillomavirus 16 and esophageal cancer in Chinese population: a meta-analysis. BMC Cancer 15(1):1–8. https://doi.org/10.1186/s12885-015-1096-1

2. Guo L, Xiao X, Wu C et al (2020) Real-time automated diagnosis of precancerous lesions and early esophageal squamous cell carcinoma using a deep learning model (with videos). Gastrointest Endosc 91(1):41–51. https://doi.org/10.1016/j.gie.2019.08.018

3. Uhlenhopp DJ, Then EO, Sunkara T et al (2020) Epidemiology of esophageal cancer: update in global trends, etiology and risk factors. Clin J Gastroenterol 13(6):1010–1021. https://doi.org/10.1007/s12328-020-01237-x

4. Xie S, Santoni G, Mälberg K et al (2021) Prediction model of long-term survival after esophageal cancer surgery. Ann Surg 273(5):933–939. https://doi.org/10.1097/SLA.0000000000003431

5. Chadwick G, Groene O, Hoare J et al (2014) A population-based, retrospective, cohort study of esophageal cancer missed at endoscopy. Endoscopy 46(07):553–560. https://doi.org/10.1055/s-0034-1365646

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4. A survival prediction model based on PCA-HSIDA-LSSVM for patients with esophageal squamous cell carcinoma;Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine;2023-10-25

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