193 related articles for article (PubMed ID: 33446730)
1. Machine learning predicts lymph node metastasis of poorly differentiated-type intramucosal gastric cancer.
Zhou CM; Wang Y; Ye HT; Yan S; Ji M; Liu P; Yang JJ
Sci Rep; 2021 Jan; 11(1):1300. PubMed ID: 33446730
[TBL] [Abstract][Full Text] [Related]
2. Feasibility study on expanded indication for endoscopic submucosal dissection of intramucosal poorly differentiated early gastric cancer.
Li H; Huo ZB; Chen SB; Li H; Wu DC; Zhai TS; Xiao QH; Wang SX; Zhang LL
World J Gastroenterol; 2016 Aug; 22(29):6736-41. PubMed ID: 27547016
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. 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]
5. Development of machine learning models to predict lymph node metastases in major salivary gland cancers.
Costantino A; Canali L; Festa BM; Kim SH; Spriano G; De Virgilio A
Eur J Surg Oncol; 2023 Sep; 49(9):106965. PubMed ID: 37393130
[TBL] [Abstract][Full Text] [Related]
6. A Risk Prediction Model Based on Lymph-Node Metastasis in Poorly Differentiated-Type Intramucosal Gastric Cancer.
Pyo JH; Lee H; Min BH; Lee JH; Choi MG; Lee JH; Sohn TS; Bae JM; Kim KM; Ahn HS; Jung SH; Kim S; Kim JJ
PLoS One; 2016; 11(5):e0156207. PubMed ID: 27228258
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. 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]
9. Intramucosal gastric cancer: the rate of lymph node metastasis in signet ring cell carcinoma is as low as that in well-differentiated adenocarcinoma.
Lee SH; Jee SR; Kim JH; Seol SY
Eur J Gastroenterol Hepatol; 2015 Feb; 27(2):170-4. PubMed ID: 25503738
[TBL] [Abstract][Full Text] [Related]
10. Support vector machine model for diagnosis of lymph node metastasis in gastric cancer with multidetector computed tomography: a preliminary study.
Zhang XP; Wang ZL; Tang L; Sun YS; Cao K; Gao Y
BMC Cancer; 2011 Jan; 11():10. PubMed ID: 21223564
[TBL] [Abstract][Full Text] [Related]
11. Predicting postoperative gastric cancer prognosis based on inflammatory factors and machine learning technology.
Zhou CM; Wang Y; Yang JJ; Zhu Y
BMC Med Inform Decis Mak; 2023 Mar; 23(1):53. PubMed ID: 37004065
[TBL] [Abstract][Full Text] [Related]
12. Lymph node metastasis in differentiated-type early gastric cancer: a single-center retrospective analysis of surgically resected cases.
Feng H; Wang Y; Cao L; Zhang C; Sun B; Zhao Y; Xu J
Scand J Gastroenterol; 2016 Jan; 51(1):48-54. PubMed ID: 26200504
[TBL] [Abstract][Full Text] [Related]
13. [Predictive factors for lymph node metastasis in patients with poorly differentiated early gastric cancer].
Pang BR; Zhu ZL; Li C; Liu WT; KumarSah RD; Yan M; Zhu ZG
Zhonghua Wei Chang Wai Ke Za Zhi; 2019 May; 22(5):446-450. PubMed ID: 31104430
[No Abstract] [Full Text] [Related]
14. Risk factors of lymph node metastasis or lymphovascular invasion for early gastric cancer: a practical and effective predictive model based on international multicenter data.
Lin JX; Wang ZK; Wang W; Desiderio J; Xie JW; Wang JB; Lu J; Chen QY; Cao LL; Lin M; Tu RH; Zheng CH; Li P; Parisi A; Zhou ZW; Huang CM
BMC Cancer; 2019 Nov; 19(1):1048. PubMed ID: 31694573
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Predicting Peritoneal Metastasis of Gastric Cancer Patients Based on Machine Learning.
Zhou C; Wang Y; Ji MH; Tong J; Yang JJ; Xia H
Cancer Control; 2020; 27(1):1073274820968900. PubMed ID: 33115287
[TBL] [Abstract][Full Text] [Related]
17. An evidential reasoning based model for diagnosis of lymph node metastasis in gastric cancer.
Zhou ZG; Liu F; Jiao LC; Wang ZL; Zhang XP; Wang XD; Luo XZ
BMC Med Inform Decis Mak; 2013 Nov; 13():123. PubMed ID: 24195733
[TBL] [Abstract][Full Text] [Related]
18. Prediction of the indication criteria for endoscopic resection of early gastric cancer.
Park JH; Lee SH; Park JM; Park CS; Park KS; Kim ES; Cho KB
World J Gastroenterol; 2015 Oct; 21(39):11160-7. PubMed ID: 26494970
[TBL] [Abstract][Full Text] [Related]
19. Comparison of Machine Learning and Logic Regression Algorithms for Predicting Lymph Node Metastasis in Patients with Gastric Cancer: A two-Center Study.
Lu T; Fang Y; Liu H; Chen C; Li T; Lu M; Song D
Technol Cancer Res Treat; 2024; 23():15330338231222331. PubMed ID: 38190617
[TBL] [Abstract][Full Text] [Related]
20. Indication for endoscopic treatment based on the risk of lymph node metastasis in patients with undifferentiated early gastric cancer.
Liang XQ; Wang Z; Li HT; Ma G; Yu WW; Zhou HC; Liu HB
Asian J Surg; 2020 Oct; 43(10):973-977. PubMed ID: 31964584
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
