186 related articles for article (PubMed ID: 37010850)
1. Differentiation of Bone Metastasis in Elderly Patients With Lung Adenocarcinoma Using Multiple Machine Learning Algorithms.
Zhou CM; Wang Y; Xue Q; Zhu Y
Cancer Control; 2023; 30():10732748231167958. PubMed ID: 37010850
[TBL] [Abstract][Full Text] [Related]
2. Construction of a predictive model for bone metastasis from first primary lung adenocarcinoma within 3 cm based on machine learning algorithm: a retrospective study.
Zhang Y; Xiao L; LYu L; Zhang L
PeerJ; 2024; 12():e17098. PubMed ID: 38495760
[TBL] [Abstract][Full Text] [Related]
3. Machine learning-based Radiomics analysis for differentiation degree and lymphatic node metastasis of extrahepatic cholangiocarcinoma.
Tang Y; Yang CM; Su S; Wang WJ; Fan LP; Shu J
BMC Cancer; 2021 Nov; 21(1):1268. PubMed ID: 34819043
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Machine learning-based radiomics strategy for prediction of cell proliferation in non-small cell lung cancer.
Gu Q; Feng Z; Liang Q; Li M; Deng J; Ma M; Wang W; Liu J; Liu P; Rong P
Eur J Radiol; 2019 Sep; 118():32-37. PubMed ID: 31439255
[TBL] [Abstract][Full Text] [Related]
6. Predicting diagnosis and survival of bone metastasis in breast cancer using machine learning.
Zhong X; Lin Y; Zhang W; Bi Q
Sci Rep; 2023 Oct; 13(1):18301. PubMed ID: 37880320
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Machine learning algorithms for outcome prediction in (chemo)radiotherapy: An empirical comparison of classifiers.
Deist TM; Dankers FJWM; Valdes G; Wijsman R; Hsu IC; Oberije C; Lustberg T; van Soest J; Hoebers F; Jochems A; El Naqa I; Wee L; Morin O; Raleigh DR; Bots W; Kaanders JH; Belderbos J; Kwint M; Solberg T; Monshouwer R; Bussink J; Dekker A; Lambin P
Med Phys; 2018 Jul; 45(7):3449-3459. PubMed ID: 29763967
[TBL] [Abstract][Full Text] [Related]
9. Predicting difficult airway intubation in thyroid surgery using multiple machine learning and deep learning algorithms.
Zhou CM; Wang Y; Xue Q; Yang JJ; Zhu Y
Front Public Health; 2022; 10():937471. PubMed ID: 36033770
[TBL] [Abstract][Full Text] [Related]
10. CT-based radiomics and machine learning to predict spread through air space in lung adenocarcinoma.
Jiang C; Luo Y; Yuan J; You S; Chen Z; Wu M; Wang G; Gong J
Eur Radiol; 2020 Jul; 30(7):4050-4057. PubMed ID: 32112116
[TBL] [Abstract][Full Text] [Related]
11. The CT delta-radiomics based machine learning approach in evaluating multiple primary lung adenocarcinoma.
Ma Y; Li J; Xu X; Zhang Y; Lin Y
BMC Cancer; 2022 Sep; 22(1):949. PubMed ID: 36057553
[TBL] [Abstract][Full Text] [Related]
12. Diagnostic Performance of 2D and 3D T2WI-Based Radiomics Features With Machine Learning Algorithms to Distinguish Solid Solitary Pulmonary Lesion.
Wan Q; Zhou J; Xia X; Hu J; Wang P; Peng Y; Zhang T; Sun J; Song Y; Yang G; Li X
Front Oncol; 2021; 11():683587. PubMed ID: 34868905
[TBL] [Abstract][Full Text] [Related]
13. Using a machine learning approach to identify key prognostic molecules for esophageal squamous cell carcinoma.
Li MX; Sun XM; Cheng WG; Ruan HJ; Liu K; Chen P; Xu HJ; Gao SG; Feng XS; Qi YJ
BMC Cancer; 2021 Aug; 21(1):906. PubMed ID: 34372798
[TBL] [Abstract][Full Text] [Related]
14. Application of machine learning algorithms in predicting HIV infection among men who have sex with men: Model development and validation.
He J; Li J; Jiang S; Cheng W; Jiang J; Xu Y; Yang J; Zhou X; Chai C; Wu C
Front Public Health; 2022; 10():967681. PubMed ID: 36091522
[TBL] [Abstract][Full Text] [Related]
15. Use of radiomics based on
Zhou Y; Ma XL; Zhang T; Wang J; Zhang T; Tian R
Eur J Nucl Med Mol Imaging; 2021 Aug; 48(9):2904-2913. PubMed ID: 33547553
[TBL] [Abstract][Full Text] [Related]
16. Prediction of lymph node metastasis of lung squamous cell carcinoma by machine learning algorithm classifiers.
Li G; Li C; Liu J; Peng H; Lu S; Wei D; Guo J; Wang M; Yang N
J Cancer Res Ther; 2023 Dec; 19(6):1533-1543. PubMed ID: 38156919
[TBL] [Abstract][Full Text] [Related]
17. Comparison of Machine Learning Algorithms Using Manual/Automated Features on 12-Lead Signal Electrocardiogram Classification: A Large Cohort Study on Students Aged Between 6 to 18 Years Old.
Hajianfar G; Khorgami M; Rezaei Y; Amini M; Samiei N; Tabib A; Borji BK; Kalayinia S; Shiri I; Hosseini S; Oveisi M;
Cardiovasc Eng Technol; 2023 Dec; 14(6):786-800. PubMed ID: 37848737
[TBL] [Abstract][Full Text] [Related]
18. Classifier ensemble construction with rotation forest to improve medical diagnosis performance of machine learning algorithms.
Ozcift A; Gulten A
Comput Methods Programs Biomed; 2011 Dec; 104(3):443-51. PubMed ID: 21531475
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Prediction of lung metastases in thyroid cancer using machine learning based on SEER database.
Liu W; Wang S; Ye Z; Xu P; Xia X; Guo M
Cancer Med; 2022 Jun; 11(12):2503-2515. PubMed ID: 35191613
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
