138 related articles for article (PubMed ID: 36123745)
1. An ensemble learning with active sampling to predict the prognosis of postoperative non-small cell lung cancer patients.
Hu D; Zhang H; Li S; Duan H; Wu N; Lu X
BMC Med Inform Decis Mak; 2022 Sep; 22(1):245. PubMed ID: 36123745
[TBL] [Abstract][Full Text] [Related]
2. Predicting postoperative non-small cell lung cancer prognosis via long short-term relational regularization.
Hu D; Li S; Huang Z; Wu N; Lu X
Artif Intell Med; 2020 Jul; 107():101921. PubMed ID: 32828458
[TBL] [Abstract][Full Text] [Related]
3. Prediction of pathologic stage in non-small cell lung cancer using machine learning algorithm based on CT image feature analysis.
Yu L; Tao G; Zhu L; Wang G; Li Z; Ye J; Chen Q
BMC Cancer; 2019 May; 19(1):464. PubMed ID: 31101024
[TBL] [Abstract][Full Text] [Related]
4. Next-Generation Radiogenomics Sequencing for Prediction of EGFR and KRAS Mutation Status in NSCLC Patients Using Multimodal Imaging and Machine Learning Algorithms.
Shiri I; Maleki H; Hajianfar G; Abdollahi H; Ashrafinia S; Hatt M; Zaidi H; Oveisi M; Rahmim A
Mol Imaging Biol; 2020 Aug; 22(4):1132-1148. PubMed ID: 32185618
[TBL] [Abstract][Full Text] [Related]
5. Novel Biomarker Prediction for Lung Cancer Using Random Forest Classifiers.
C L; S P; Kashyap AH; Rahaman A; Niranjan S; Niranjan V
Cancer Inform; 2023; 22():11769351231167992. PubMed ID: 37113644
[TBL] [Abstract][Full Text] [Related]
6. A Novel Ensemble Method for Imbalanced Data Learning: Bagging of Extrapolation-SMOTE SVM.
Wang Q; Luo Z; Huang J; Feng Y; Liu Z
Comput Intell Neurosci; 2017; 2017():1827016. PubMed ID: 28250765
[TBL] [Abstract][Full Text] [Related]
7. Effective treatment of imbalanced datasets in health care using modified SMOTE coupled with stacked deep learning algorithms.
Sowjanya AM; Mrudula O
Appl Nanosci; 2023; 13(3):1829-1840. PubMed ID: 35132368
[TBL] [Abstract][Full Text] [Related]
8. Combining handcrafted features with latent variables in machine learning for prediction of radiation-induced lung damage.
Cui S; Luo Y; Tseng HH; Ten Haken RK; El Naqa I
Med Phys; 2019 May; 46(5):2497-2511. PubMed ID: 30891794
[TBL] [Abstract][Full Text] [Related]
9. Prediction of Non-small Cell Lung Cancer Histology by a Deep Ensemble of Convolutional and Bidirectional Recurrent Neural Network.
Moitra D; Mandal RK
J Digit Imaging; 2020 Aug; 33(4):895-902. PubMed ID: 32333132
[TBL] [Abstract][Full Text] [Related]
10. Prediction of EGFR Mutation Status in Non-Small Cell Lung Cancer Based on Ensemble Learning.
Feng Y; Song F; Zhang P; Fan G; Zhang T; Zhao X; Ma C; Sun Y; Song X; Pu H; Liu F; Zhang G
Front Pharmacol; 2022; 13():897597. PubMed ID: 35833032
[No Abstract] [Full Text] [Related]
11. A prognostic analysis method for non-small cell lung cancer based on the computed tomography radiomics.
Wang X; Duan H; Li X; Ye X; Huang G; Nie S
Phys Med Biol; 2020 Feb; 65(4):045006. PubMed ID: 31962301
[TBL] [Abstract][Full Text] [Related]
12. A robust six-gene prognostic signature for prediction of both disease-free and overall survival in non-small cell lung cancer.
Zuo S; Wei M; Zhang H; Chen A; Wu J; Wei J; Dong J
J Transl Med; 2019 May; 17(1):152. PubMed ID: 31088477
[TBL] [Abstract][Full Text] [Related]
13. Identifying sarcopenia in advanced non-small cell lung cancer patients using skeletal muscle CT radiomics and machine learning.
Dong X; Dan X; Yawen A; Haibo X; Huan L; Mengqi T; Linglong C; Zhao R
Thorac Cancer; 2020 Sep; 11(9):2650-2659. PubMed ID: 32767522
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. A comparison of machine learning methods for predicting recurrence and death after curative-intent radiotherapy for non-small cell lung cancer: Development and validation of multivariable clinical prediction models.
Hindocha S; Charlton TG; Linton-Reid K; Hunter B; Chan C; Ahmed M; Robinson EJ; Orton M; Ahmad S; McDonald F; Locke I; Power D; Blackledge M; Lee RW; Aboagye EO
EBioMedicine; 2022 Mar; 77():103911. PubMed ID: 35248997
[TBL] [Abstract][Full Text] [Related]
16. Mixture classification model based on clinical markers for breast cancer prognosis.
Zeng T; Liu J
Artif Intell Med; 2010; 48(2-3):129-37. PubMed ID: 20005686
[TBL] [Abstract][Full Text] [Related]
17. RSS-Bagging: Improving Generalization Through the Fisher Information of Training Data.
Wang J; Li F; Li J; Hou C; Qian Y; Liang J
IEEE Trans Neural Netw Learn Syst; 2023 May; PP():. PubMed ID: 37216237
[TBL] [Abstract][Full Text] [Related]
18. Support vector machine-based prediction of local tumor control after stereotactic body radiation therapy for early-stage non-small cell lung cancer.
Klement RJ; Allgäuer M; Appold S; Dieckmann K; Ernst I; Ganswindt U; Holy R; Nestle U; Nevinny-Stickel M; Semrau S; Sterzing F; Wittig A; Andratschke N; Guckenberger M
Int J Radiat Oncol Biol Phys; 2014 Mar; 88(3):732-8. PubMed ID: 24411630
[TBL] [Abstract][Full Text] [Related]
19. Development and validation of consensus machine learning-based models for the prediction of novel small molecules as potential anti-tubercular agents.
Wani MA; Roy KK
Mol Divers; 2022 Jun; 26(3):1345-1356. PubMed ID: 34110578
[TBL] [Abstract][Full Text] [Related]
20. [Establishment and evaluation of a prognostic prediction model for patients after complete resection of non-small cell lung cancer and multidisciplinary therapy].
Wei WD; Fu JH; Lin P; Li XD; Yang H; Rong TH; Chen LK
Zhonghua Zhong Liu Za Zhi; 2008 Sep; 30(9):672-5. PubMed ID: 19173908
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
