602 related articles for article (PubMed ID: 36465636)
1. 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]
2. 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]
3. A clinical prediction model for predicting the risk of liver metastasis from renal cell carcinoma based on machine learning.
Wang Z; Xu C; Liu W; Zhang M; Zou J; Shao M; Feng X; Yang Q; Li W; Shi X; Zang G; Yin C
Front Endocrinol (Lausanne); 2022; 13():1083569. PubMed ID: 36686417
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Early distinction of lymph node metastasis in patients with soft tissue sarcoma and individualized survival prediction using the online available nomograms: A population-based analysis.
Tong Y; Pi Y; Cui Y; Jiang L; Gong Y; Zhao D
Front Oncol; 2022; 12():959804. PubMed ID: 36568161
[TBL] [Abstract][Full Text] [Related]
6. Analysis of risk factors for lymph node metastasis and prognosis study in patients with early gastric cancer: A SEER data-based study.
Li J; Cui T; Huang Z; Mu Y; Yao Y; Xu W; Chen K; Liu H; Wang W; Chen X
Front Oncol; 2023; 13():1062142. PubMed ID: 37007147
[TBL] [Abstract][Full Text] [Related]
7. Using machine learning to predict lymph node metastasis in patients with renal cell carcinoma: A population-based study.
Zhang Y; Yi X; Tang Z; Xie P; Yin N; Deng Q; Zhu L; Luo H; Peng K
Front Public Health; 2023; 11():1104931. PubMed ID: 37033061
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. 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]
10. [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]
11. 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]
12. Development and validation of machine learning models for predicting prognosis and guiding individualized postoperative chemotherapy: A real-world study of distal cholangiocarcinoma.
Wang D; Pan B; Huang JC; Chen Q; Cui SP; Lang R; Lyu SC
Front Oncol; 2023; 13():1106029. PubMed ID: 37007095
[TBL] [Abstract][Full Text] [Related]
13. Development and validation of a nomogram for prediction of lymph node metastasis in early-stage breast cancer.
Li H; Tang L; Chen Y; Mao L; Xie H; Wang S; Guan X
Gland Surg; 2021 Mar; 10(3):901-913. PubMed ID: 33842235
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Applying machine learning techniques to predict the risk of lung metastases from rectal cancer: a real-world retrospective study.
Qiu B; Shen Z; Yang D; Wang Q
Front Oncol; 2023; 13():1183072. PubMed ID: 37293595
[TBL] [Abstract][Full Text] [Related]
16. The Construction and Validation of a new Predictive Model for Overall Survival of Clear Cell Renal Cell Carcinoma Patients with Bone Metastasis Based on Machine Learning Algorithm.
Le Y; Xu W; Guo W
Technol Cancer Res Treat; 2023; 22():15330338231165131. PubMed ID: 37078130
[TBL] [Abstract][Full Text] [Related]
17. An easy-to-use artificial intelligence preoperative lymph node metastasis predictor (LN-MASTER) in rectal cancer based on a privacy-preserving computing platform: multicenter retrospective cohort study.
Guan X; Yu G; Zhang W; Wen R; Wei R; Jiao S; Zhao Q; Lou Z; Hao L; Liu E; Gao X; Wang G; Zhang W; Wang X
Int J Surg; 2023 Mar; 109(3):255-265. PubMed ID: 36927812
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. A Comprehensive Nomogram Combining CT Imaging with Clinical Features for Prediction of Lymph Node Metastasis in Stage I-IIIB Non-small Cell Lung Cancer.
Zheng X; Shao J; Zhou L; Wang L; Ge Y; Wang G; Feng F
Ther Innov Regul Sci; 2022 Jan; 56(1):155-167. PubMed ID: 34699046
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]
