Implementing machine learning to predict survival outcomes in patients with resected pulmonary large cell neuroendocrine carcinoma-Reference-Cited by-同舟云学术

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Implementing machine learning to predict survival outcomes in patients with resected pulmonary large cell neuroendocrine carcinoma

Published:2024-09-09 Issue: Volume: Page:1-13
ISSN:1473-7140
Container-title:Expert Review of Anticancer Therapy
language:en
Short-container-title:Expert Review of Anticancer Therapy

Author:

Liang Min¹²^ORCID,Singh Shantanu³,Huang Jian⁴

Affiliation:

1. Department of Respiratory and Critical Care Medicine, Maoming People’s Hospital, Maoming, China

2. Center of Respiratory Research, Maoming People’s Hospital, Maoming, China

3. Division of Pulmonary, Critical Care and Sleep Medicine, Marshall University, Huntington, WV, USA

4. Department of Thoracic Surgery, Maoming People’s Hospital, Maoming, China

Funder

the Medical Research Fund of Guangdong Province

the Research Project of Maoming Science and Technology Bureau

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/14737140.2024.2401446

Reference36 articles.

1. Cancer Incidence, Mortality, Years of Life Lost, Years Lived With Disability, and Disability-Adjusted Life Years for 29 Cancer Groups From 2010 to 2019

2. The global burden of cancer attributable to risk factors, 2010–19: a systematic analysis for the Global Burden of Disease Study 2019

3. Pulmonary Large-Cell Neuroendocrine Carcinoma: From Epidemiology to Therapy

4. The 2015 World Health Organization Classification of Lung Tumors

5. Predictors of Survival After Operation Among Patients With Large Cell Neuroendocrine Carcinoma of the Lung

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