161 related articles for article (PubMed ID: 32477952)
1. Preoperative Prediction of Lymph Node Metastasis in Patients With Early-T-Stage Non-small Cell Lung Cancer by Machine Learning Algorithms.
Wu Y; Liu J; Han C; Liu X; Chong Y; Wang Z; Gong L; Zhang J; Gao X; Guo C; Liang N; Li S
Front Oncol; 2020; 10():743. PubMed ID: 32477952
[No Abstract] [Full Text] [Related]
2. Clinicopathological models for predicting lymph node metastasis in patients with early-stage lung adenocarcinoma: the application of machine learning algorithms.
Chong Y; Wu Y; Liu J; Han C; Gong L; Liu X; Liang N; Li S
J Thorac Dis; 2021 Jul; 13(7):4033-4042. PubMed ID: 34422333
[TBL] [Abstract][Full Text] [Related]
3. To Predict the Length of Hospital Stay After Total Knee Arthroplasty in an Orthopedic Center in China: The Use of Machine Learning Algorithms.
Han C; Liu J; Wu Y; Chong Y; Chai X; Weng X
Front Surg; 2021; 8():606038. PubMed ID: 33777997
[No Abstract] [Full Text] [Related]
4. Using Natural Language Processing and Machine Learning to Preoperatively Predict Lymph Node Metastasis for Non-Small Cell Lung Cancer With Electronic Medical Records: Development and Validation Study.
Hu D; Li S; Zhang H; Wu N; Lu X
JMIR Med Inform; 2022 Apr; 10(4):e35475. PubMed ID: 35468085
[TBL] [Abstract][Full Text] [Related]
5. Development and validation of a machine learning model to predict the risk of lymph node metastasis in renal carcinoma.
Feng X; Hong T; Liu W; Xu C; Li W; Yang B; Song Y; Li T; Li W; Zhou H; Yin C
Front Endocrinol (Lausanne); 2022; 13():1054358. PubMed ID: 36465636
[TBL] [Abstract][Full Text] [Related]
6. Machine learning-based gray-level co-occurrence matrix signature for predicting lymph node metastasis in undifferentiated-type early gastric cancer.
Wei X; Yan XJ; Guo YY; Zhang J; Wang GR; Fayyaz A; Yu J
World J Gastroenterol; 2022 Sep; 28(36):5338-5350. PubMed ID: 36185632
[TBL] [Abstract][Full Text] [Related]
7. An Externally-Validated Dynamic Nomogram Based on Clinicopathological Characteristics for Evaluating the Risk of Lymph Node Metastasis in Small-Size Non-small Cell Lung Cancer.
Wu Y; Han C; Wang Z; Gong L; Liu J; Chong Y; Liu X; Liang N; Li S
Front Oncol; 2020; 10():1322. PubMed ID: 32850420
[No Abstract] [Full Text] [Related]
8. Interpretable machine learning-based clinical prediction model for predicting lymph node metastasis in patients with intrahepatic cholangiocarcinoma.
Xie H; Hong T; Liu W; Jia X; Wang L; Zhang H; Xu C; Zhang X; Li WL; Wang Q; Yin C; Lv X
BMC Gastroenterol; 2024 Apr; 24(1):137. PubMed ID: 38641789
[TBL] [Abstract][Full Text] [Related]
9. A Machine Learning-Based Predictive Model for Predicting Lymph Node Metastasis in Patients With Ewing's Sarcoma.
Li W; Zhou Q; Liu W; Xu C; Tang ZR; Dong S; Wang H; Li W; Zhang K; Li R; Zhang W; Hu Z; Shibin S; Liu Q; Kuang S; Yin C
Front Med (Lausanne); 2022; 9():832108. PubMed ID: 35463005
[TBL] [Abstract][Full Text] [Related]
10. Construction of prediction model of lymph node metastasis of early cervical cancer based on machine learning algorithm and its application: experience of 204 cases in a single center.
Meng Y; Yan X; Fan J
Am J Transl Res; 2023; 15(3):1852-1861. PubMed ID: 37056833
[TBL] [Abstract][Full Text] [Related]
11. Radiomics and Clinicopathological Characteristics for Predicting Lymph Node Metastasis in Testicular Cancer.
Lisson CS; Manoj S; Wolf D; Lisson CG; Schmidt SA; Beer M; Thaiss W; Bolenz C; Zengerling F; Goetz M
Cancers (Basel); 2023 Nov; 15(23):. PubMed ID: 38067334
[TBL] [Abstract][Full Text] [Related]
12. Development and Validation of a Combined Model for Preoperative Prediction of Lymph Node Metastasis in Peripheral Lung Adenocarcinoma.
Li Q; He XQ; Fan X; Zhu CN; Lv JW; Luo TY
Front Oncol; 2021; 11():675877. PubMed ID: 34109124
[TBL] [Abstract][Full Text] [Related]
13. Machine Learning for the Prediction of Lymph Nodes Micrometastasis in Patients with Non-Small Cell Lung Cancer: A Comparative Analysis of Two Practical Prediction Models for Gross Target Volume Delineation.
Hu S; Luo M; Li Y
Cancer Manag Res; 2021; 13():4811-4820. PubMed ID: 34168500
[TBL] [Abstract][Full Text] [Related]
14. Development of a machine learning model for the prediction of nodal metastasis in early T classification oral squamous cell carcinoma: SEER-based population study.
Kwak MS; Eun YG; Lee JW; Lee YC
Head Neck; 2021 Aug; 43(8):2316-2324. PubMed ID: 33792112
[TBL] [Abstract][Full Text] [Related]
15. Efficacy of a combined tool for stage I non-small cell lung cancer against lymph node metastasis.
Nakada T; Yabe M; Ohtsuka T
Oncol Lett; 2022 Oct; 24(4):332. PubMed ID: 36039061
[TBL] [Abstract][Full Text] [Related]
16. Construction and Evaluation of a Preoperative Prediction Model for Lymph Node Metastasis of cIA Lung Adenocarcinoma Using Random Forest.
Zhang C; Xu S; Jiang Y; Jiang C; Li S; Wang Z; Dong Y; Jin F; Zhao D; Zhao Y
J Oncol; 2022; 2022():4008113. PubMed ID: 36199801
[TBL] [Abstract][Full Text] [Related]
17. Risk Assessment of Bone Metastasis for Cervical Cancer Patients by Multiple Models: A Large Population Based Real-World Study.
Han Y; Wang B; Zhang J; Zhou S; Dai J; Wu M; Li Y; Wang S
Front Med (Lausanne); 2021; 8():725298. PubMed ID: 34676225
[No Abstract] [Full Text] [Related]
18. Prediction of occult lymph node metastasis using volume-based PET parameters in small-sized peripheral non-small cell lung cancer.
Park SY; Yoon JK; Park KJ; Lee SJ
Cancer Imaging; 2015 Dec; 15():21. PubMed ID: 26694918
[TBL] [Abstract][Full Text] [Related]
19. Pilot Study to Establish a Novel Five-Gene Biomarker Panel for Predicting Lymph Node Metastasis in Patients With Early Stage Endometrial Cancer.
Huang CY; Liao KW; Chou CH; Shrestha S; Yang CD; Chiew MY; Huang HT; Hong HC; Huang SH; Chang TH; Huang HD
Front Oncol; 2019; 9():1508. PubMed ID: 32039004
[No Abstract] [Full Text] [Related]
20. Machine learning models predict lymph node metastasis in patients with stage T1-T2 esophageal squamous cell carcinoma.
Li DL; Zhang L; Yan HJ; Zheng YB; Guo XG; Tang SJ; Hu HY; Yan H; Qin C; Zhang J; Guo HY; Zhou HN; Tian D
Front Oncol; 2022; 12():986358. PubMed ID: 36158684
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]