171 related articles for article (PubMed ID: 36158684)
21. Application of Machine Learning Algorithms to Predict Central Lymph Node Metastasis in T1-T2, Non-invasive, and Clinically Node Negative Papillary Thyroid Carcinoma.
Zhu J; Zheng J; Li L; Huang R; Ren H; Wang D; Dai Z; Su X
Front Med (Lausanne); 2021; 8():635771. PubMed ID: 33768105
[No Abstract] [Full Text] [Related]
22. Prediction of Cervical Lymph Node Metastasis in Clinically Node-Negative T1 and T2 Papillary Thyroid Carcinoma Using Supervised Machine Learning Approach.
Popović Krneta M; Šobić Šaranović D; Mijatović Teodorović L; Krajčinović N; Avramović N; Bojović Ž; Bukumirić Z; Marković I; Rajšić S; Djorović BB; Artiko V; Karličić M; Tanić M
J Clin Med; 2023 May; 12(11):. PubMed ID: 37297835
[TBL] [Abstract][Full Text] [Related]
23. 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]
24. 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]
25. Development of a predictive radiomics model for lymph node metastases in pre-surgical CT-based stage IA non-small cell lung cancer.
Cong M; Feng H; Ren JL; Xu Q; Cong L; Hou Z; Wang YY; Shi G
Lung Cancer; 2020 Jan; 139():73-79. PubMed ID: 31743889
[TBL] [Abstract][Full Text] [Related]
26. A novel web-based dynamic nomogram for recurrent laryngeal nerve lymph node metastasis in esophageal squamous cell carcinoma.
Chen TT; Yan HJ; He X; Fu SY; Zhang SX; Yang W; Zuo YJ; Tang HT; Yang JJ; Liu PZ; Wen HY; Tian D
Front Surg; 2022; 9():898705. PubMed ID: 36081588
[TBL] [Abstract][Full Text] [Related]
27. Machine Learning Predicts Lymph Node Metastasis in Early-Stage Oral Tongue Squamous Cell Carcinoma.
Shan J; Jiang R; Chen X; Zhong Y; Zhang W; Xie L; Cheng J; Jiang H
J Oral Maxillofac Surg; 2020 Dec; 78(12):2208-2218. PubMed ID: 32649894
[TBL] [Abstract][Full Text] [Related]
28. [A nomogram for predicting lymph node metastasis in early gastric cancer].
Cui H; Cao B; Deng H; Liu GB; Liang WQ; Xie TY; Ye L; Zhang QP; Wang N; Liu FD; Wei B
Zhonghua Wei Chang Wai Ke Za Zhi; 2022 Jan; 25(1):40-47. PubMed ID: 35067033
[No Abstract] [Full Text] [Related]
29. Depth of Invasion into the Circular and Longitudinal Muscle Layers in T2 Esophageal Squamous Cell Carcinoma Does Not Affect Prognosis or Lymph Node Metastasis: A Multicenter Retrospective Study.
Tian D; Huang H; Yang YS; Jiang KY; He X; Guo XG; Chen LQ
World J Surg; 2020 Jan; 44(1):171-178. PubMed ID: 31552458
[TBL] [Abstract][Full Text] [Related]
30. [Clinical value of para-recurrent laryngeal nerve lymphadenectomy for middle thoracic esophageal squamous cell carcinoma].
Wang Z; Liu S
Zhonghua Wei Chang Wai Ke Za Zhi; 2015 Sep; 18(9):867-70. PubMed ID: 26404679
[TBL] [Abstract][Full Text] [Related]
31. 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]
32. A Novel Approach to Assessing Differentiation Degree and Lymph Node Metastasis of Extrahepatic Cholangiocarcinoma: Prediction Using a Radiomics-Based Particle Swarm Optimization and Support Vector Machine Model.
Yao X; Huang X; Yang C; Hu A; Zhou G; Lei J; Shu J
JMIR Med Inform; 2020 Oct; 8(10):e23578. PubMed ID: 33016889
[TBL] [Abstract][Full Text] [Related]
33. Application of machine learning algorithm in prediction of lymph node metastasis in patients with intermediate and high-risk prostate cancer.
Wang X; Zhang X; Li H; Zhang M; Liu Y; Li X
J Cancer Res Clin Oncol; 2023 Sep; 149(11):8759-8768. PubMed ID: 37127828
[TBL] [Abstract][Full Text] [Related]
34. A nomogram to predict lymph node metastasis risk for early esophageal squamous cell carcinoma.
Duan X; Shang X; Yue J; Ma Z; Chen C; Tang P; Jiang H; Yu Z
BMC Cancer; 2021 Apr; 21(1):431. PubMed ID: 33879102
[TBL] [Abstract][Full Text] [Related]
35. Artificial intelligence-based computer-aided diagnosis system supports diagnosis of lymph node metastasis in esophageal squamous cell carcinoma: A multicenter study.
Zhang ST; Wang SY; Zhang J; Dong D; Mu W; Xia XE; Fu FF; Lu YN; Wang S; Tang ZC; Li P; Qu JR; Wang MY; Tian J; Liu JH
Heliyon; 2023 Mar; 9(3):e14030. PubMed ID: 36923854
[TBL] [Abstract][Full Text] [Related]
36. Prediction of lymph node metastatic status in superficial esophageal squamous cell carcinoma using an assessment model combining clinical characteristics and pathologic results: A retrospective cohort study.
Zhou Y; Du J; Wang Y; Li H; Ping G; Luo J; Chen L; Zhang S; Wang W
Int J Surg; 2019 Jun; 66():53-61. PubMed ID: 31029876
[TBL] [Abstract][Full Text] [Related]
37. Development of a novel biomarker model for predicting preoperative lymph node metastatic extent in esophageal squamous cell carcinoma
Ma Z; Wu X; Xu B; Jiang H; Tang P; Yue J; Ma M; Chen C; Zhang H; Yu Z
Oncotarget; 2017 Dec; 8(62):105790-105799. PubMed ID: 29285292
[TBL] [Abstract][Full Text] [Related]
38. The prevalence of lymph node metastasis for pathological T1 esophageal cancer: a retrospective study of 143 cases.
Duan XF; Tang P; Shang XB; Jiang HJ; Yu ZT
Surg Oncol; 2018 Mar; 27(1):1-6. PubMed ID: 29549895
[TBL] [Abstract][Full Text] [Related]
39. LASSO-Based Machine Learning Algorithm for Prediction of Lymph Node Metastasis in T1 Colorectal Cancer.
Kang J; Choi YJ; Kim IK; Lee HS; Kim H; Baik SH; Kim NK; Lee KY
Cancer Res Treat; 2021 Jul; 53(3):773-783. PubMed ID: 33421980
[TBL] [Abstract][Full Text] [Related]
40. Radiomic signature as a predictive factor for lymph node metastasis in early-stage cervical cancer.
Kan Y; Dong D; Zhang Y; Jiang W; Zhao N; Han L; Fang M; Zang Y; Hu C; Tian J; Li C; Luo Y
J Magn Reson Imaging; 2019 Jan; 49(1):304-310. PubMed ID: 30102438
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
