Clinicopathological models for predicting lymph node metastasis in patients with early-stage lung adenocarcinoma: the application of machine learning algorithms-Reference-Cited by-同舟云学术

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Clinicopathological models for predicting lymph node metastasis in patients with early-stage lung adenocarcinoma: the application of machine learning algorithms

Published:2021-07 Issue:7 Volume:13 Page:4033-4042
ISSN:2072-1439
Container-title:Journal of Thoracic Disease
language:
Short-container-title:J Thorac Dis

Author:

Chong Yuming,Wu Yijun,Liu Jianghao,Han Chang,Gong Liang,Liu Xinyu,Liang Naixin,Li Shanqing

Publisher

AME Publishing Company

Subject

Pulmonary and Respiratory Medicine

Link

https://jtd.amegroups.com/article/download/53544/pdf

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. AI/ML advances in non-small cell lung cancer biomarker discovery;Frontiers in Oncology;2023-12-11

2. A new approach for cancer prediction based on deep neural learning;Journal of King Saud University - Computer and Information Sciences;2023-06

3. Prediction of Distant Metastases After Stereotactic Body Radiation Therapy for Early Stage NSCLC: Development and External Validation of a Multi-Institutional Model;Journal of Thoracic Oncology;2023-03

4. Minor histological components predict the recurrence of patients with resected stage I acinar- or papillary-predominant lung adenocarcinoma;Frontiers in Oncology;2022-12-23

5. Development and validation of a machine learning model to predict the risk of lymph node metastasis in renal carcinoma;Frontiers in Endocrinology;2022-11-18

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