196 related articles for article (PubMed ID: 37056833)
1. 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]
2. Exploring risk factors for cervical lymph node metastasis in papillary thyroid microcarcinoma: construction of a novel population-based predictive model.
Huang Y; Mao Y; Xu L; Wen J; Chen G
BMC Endocr Disord; 2022 Nov; 22(1):269. PubMed ID: 36329470
[TBL] [Abstract][Full Text] [Related]
3. Application of an Interpretable Machine Learning Model to Predict Lymph Node Metastasis in Patients with Laryngeal Carcinoma.
Feng M; Zhang J; Zhou X; Mo H; Jia L; Zhang C; Hu Y; Yuan W
J Oncol; 2022; 2022():6356399. PubMed ID: 36411795
[TBL] [Abstract][Full Text] [Related]
4. Value of the Application of CE-MRI Radiomics and Machine Learning in Preoperative Prediction of Sentinel Lymph Node Metastasis in Breast Cancer.
Zhu Y; Yang L; Shen H
Front Oncol; 2021; 11():757111. PubMed ID: 34868967
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. 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]
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. Application of machine learning algorithms to predict lymph node metastasis in gastric neuroendocrine neoplasms.
Liu L; Liu W; Jia Z; Li Y; Wu H; Qu S; Zhu J; Liu X; Xu C
Heliyon; 2023 Oct; 9(10):e20928. PubMed ID: 37928390
[TBL] [Abstract][Full Text] [Related]
9. Correlation Between Squamous Cell Carcinoma Antigen Level and the Clinicopathological Features of Early-Stage Cervical Squamous Cell Carcinoma and the Predictive Value of Squamous Cell Carcinoma Antigen Combined With Computed Tomography Scan for Lymph Node Metastasis.
Xu D; Wang D; Wang S; Tian Y; Long Z; Ren X
Int J Gynecol Cancer; 2017 Nov; 27(9):1935-1942. PubMed ID: 28914639
[TBL] [Abstract][Full Text] [Related]
10. [Clinical significance of serum squamous cell carcinoma antigen in patients with early cervical squamous cell carcinoma].
Li D; Xu XX; Yan DD; Yuan SH; Lou HM
Zhonghua Zhong Liu Za Zhi; 2019 May; 41(5):357-362. PubMed ID: 31137169
[No Abstract] [Full Text] [Related]
11. [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]
12. Machine Learning-Based Shear Wave Elastography Elastic Index (SWEEI) in Predicting Cervical Lymph Node Metastasis of Papillary Thyroid Microcarcinoma: A Comparative Analysis of Five Practical Prediction Models.
Huang X; Zhang Y; He D; Lai L; Chen J; Zhang T; Mao H
Cancer Manag Res; 2022; 14():2847-2858. PubMed ID: 36171862
[TBL] [Abstract][Full Text] [Related]
13. Machine Learning-Based Prediction of Lymph Node Metastasis Among Osteosarcoma Patients.
Li W; Liu Y; Liu W; Tang ZR; Dong S; Li W; Zhang K; Xu C; Hu Z; Wang H; Lei Z; Liu Q; Guo C; Yin C
Front Oncol; 2022; 12():797103. PubMed ID: 35515104
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Prediction models for lymph node metastasis in cervical cancer based on preoperative heart rate variability.
Guan W; Wang Y; Zhao H; Lu H; Zhang S; Liu J; Shi B
Front Neurosci; 2024; 18():1275487. PubMed ID: 38410157
[TBL] [Abstract][Full Text] [Related]
16. [Establishment of artificial neural network model for predicting lymph node metastasis in patients with stage Ⅱ-Ⅲ gastric cancer].
Xue Z; Lu J; Lin J; Huang CM; Li P; Xie JW; Wang JB; Lin JX; Chen QY; Zheng CH
Zhonghua Wei Chang Wai Ke Za Zhi; 2022 Apr; 25(4):327-335. PubMed ID: 35461201
[No Abstract] [Full Text] [Related]
17. 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]
18. 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]
19. 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]
20. Machine learning-based MRI texture analysis to predict occult lymph node metastasis in early-stage oral tongue squamous cell carcinoma.
Yuan Y; Ren J; Tao X
Eur Radiol; 2021 Sep; 31(9):6429-6437. PubMed ID: 33569617
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]