339 related articles for article (PubMed ID: 35515104)
1. 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]
2. An External-Validated Prediction Model to Predict Lung Metastasis among Osteosarcoma: A Multicenter Analysis Based on Machine Learning.
Li W; Liu W; Hussain Memon F; Wang B; Xu C; Dong S; Wang H; Hu Z; Quan X; Deng Y; Liu Q; Su S; Yin C
Comput Intell Neurosci; 2022; 2022():2220527. PubMed ID: 35571720
[TBL] [Abstract][Full Text] [Related]
3. 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]
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. 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]
6. 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]
7. A Machine Learning Algorithm for Predicting the Risk of Developing to M1b Stage of Patients With Germ Cell Testicular Cancer.
Ding L; Wang K; Zhang C; Zhang Y; Wang K; Li W; Wang J
Front Public Health; 2022; 10():916513. PubMed ID: 35844840
[TBL] [Abstract][Full Text] [Related]
8. Application of machine learning techniques in real-world research to predict the risk of liver metastasis in rectal cancer.
Qiu B; Su XH; Qin X; Wang Q
Front Oncol; 2022; 12():1065468. PubMed ID: 36605425
[TBL] [Abstract][Full Text] [Related]
9. A machine learning-based model for clinical prediction of distal metastasis in chondrosarcoma: a multicenter, retrospective study.
Wei J; Lu S; Liu W; Liu H; Feng L; Tao Y; Pu Z; Liu Q; Hu Z; Wang H; Li W; Kang W; Yin C; Feng Z
PeerJ; 2023; 11():e16485. PubMed ID: 38130920
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. 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]
12. Prediction of bone metastasis in non-small cell lung cancer based on machine learning.
Li MP; Liu WC; Sun BL; Zhong NS; Liu ZL; Huang SH; Zhang ZH; Liu JM
Front Oncol; 2022; 12():1054300. PubMed ID: 36698411
[TBL] [Abstract][Full Text] [Related]
13. LASSO-based machine learning models for the prediction of central lymph node metastasis in clinically negative patients with papillary thyroid carcinoma.
Feng JW; Ye J; Qi GF; Hong LZ; Wang F; Liu SY; Jiang Y
Front Endocrinol (Lausanne); 2022; 13():1030045. PubMed ID: 36506061
[TBL] [Abstract][Full Text] [Related]
14. A machine learning-based model for predicting distant metastasis in patients with rectal cancer.
Qiu B; Shen Z; Wu S; Qin X; Yang D; Wang Q
Front Oncol; 2023; 13():1235121. PubMed ID: 37655097
[TBL] [Abstract][Full Text] [Related]
15. Application of Machine Learning Techniques to Predict Bone Metastasis in Patients with Prostate Cancer.
Liu WC; Li MX; Qian WX; Luo ZW; Liao WJ; Liu ZL; Liu JM
Cancer Manag Res; 2021; 13():8723-8736. PubMed ID: 34849027
[TBL] [Abstract][Full Text] [Related]
16. A machine learning-based model for predicting the risk of early-stage inguinal lymph node metastases in patients with squamous cell carcinoma of the penis.
Ding L; Zhang C; Wang K; Zhang Y; Wu C; Xia W; Li S; Li W; Wang J
Front Surg; 2023; 10():1095545. PubMed ID: 37009612
[TBL] [Abstract][Full Text] [Related]
17. A comparative analysis of eight machine learning models for the prediction of lateral lymph node metastasis in patients with papillary thyroid carcinoma.
Feng JW; Ye J; Qi GF; Hong LZ; Wang F; Liu SY; Jiang Y
Front Endocrinol (Lausanne); 2022; 13():1004913. PubMed ID: 36387877
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. 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]
20. Machine learning based on SEER database to predict distant metastasis of thyroid cancer.
Qiao L; Li H; Wang Z; Sun H; Feng G; Yin D
Endocrine; 2023 Dec; ():. PubMed ID: 38155324
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]