121 related articles for article (PubMed ID: 37128408)
1. Integration of Clinical Information and Imputed Aneuploidy Scores to Enhance Relapse Prediction in Early Stage Lung Cancer Patients.
Timilsina M; Buosi S; Fey D; Janik A; Torrente M; Provencio M; Bermu Dez AC; Carcereny E; Costabello L; Abreu DRI; Cobo M; Castro RLP; Bernabe R; Guirado DM; Minervini P; Nova Cˇek VI
AMIA Annu Symp Proc; 2022; 2022():1062-1071. PubMed ID: 37128408
[TBL] [Abstract][Full Text] [Related]
2. Synergy between imputed genetic pathway and clinical information for predicting recurrence in early stage non-small cell lung cancer.
Timilsina M; Fey D; Buosi S; Janik A; Costabello L; Carcereny E; Abreu DR; Cobo M; Castro RL; Bernabé R; Minervini P; Torrente M; Provencio M; Nováček V
J Biomed Inform; 2023 Aug; 144():104424. PubMed ID: 37352900
[TBL] [Abstract][Full Text] [Related]
3. Boosting predictive models and augmenting patient data with relevant genomic and pathway information.
Buosi S; Timilsina M; Torrente M; Provencio M; Fey D; Nováček V
Comput Biol Med; 2024 May; 174():108398. PubMed ID: 38608322
[TBL] [Abstract][Full Text] [Related]
4. Machine Learning-Assisted Recurrence Prediction for Patients With Early-Stage Non-Small-Cell Lung Cancer.
Janik A; Torrente M; Costabello L; Calvo V; Walsh B; Camps C; Mohamed SK; Ortega AL; Nováček V; Massutí B; Minervini P; Campelo MRG; Del Barco E; Bosch-Barrera J; Menasalvas E; Timilsina M; Provencio M
JCO Clin Cancer Inform; 2023 Jul; 7():e2200062. PubMed ID: 37428988
[TBL] [Abstract][Full Text] [Related]
5. Machine learning approaches for prediction of early death among lung cancer patients with bone metastases using routine clinical characteristics: An analysis of 19,887 patients.
Cui Y; Shi X; Wang S; Qin Y; Wang B; Che X; Lei M
Front Public Health; 2022; 10():1019168. PubMed ID: 36276398
[TBL] [Abstract][Full Text] [Related]
6. NCC-AUC: an AUC optimization method to identify multi-biomarker panel for cancer prognosis from genomic and clinical data.
Zou M; Liu Z; Zhang XS; Wang Y
Bioinformatics; 2015 Oct; 31(20):3330-8. PubMed ID: 26092859
[TBL] [Abstract][Full Text] [Related]
7. Development and validation of a novel mRNA signature for predicting early relapse in non-small cell lung cancer.
Lin J; Weng J; Lin S; Lin C; Huang J; Zhang C; Zhang S; Dong C; Ji H; Ke X
Jpn J Clin Oncol; 2021 Aug; 51(8):1277-1286. PubMed ID: 34037221
[TBL] [Abstract][Full Text] [Related]
8. How platinum-induced nephrotoxicity occurs? Machine learning prediction in non-small cell lung cancer patients.
Huang SH; Chu CY; Hsu YC; Wang SY; Kuo LN; Bai KJ; Yu MC; Chang JH; Liu EH; Chen HY
Comput Methods Programs Biomed; 2022 Jun; 221():106839. PubMed ID: 35550456
[TBL] [Abstract][Full Text] [Related]
9. Development of a Novel Intra-Operative Score to Record Diseases' Anatomic Fingerprints (ANAFI Score) for the Prediction of Complete Cytoreduction in Advanced-Stage Ovarian Cancer by Using Machine Learning and Explainable Artificial Intelligence.
Laios A; Kalampokis E; Johnson R; Munot S; Thangavelu A; Hutson R; Broadhead T; Theophilou G; Nugent D; De Jong D
Cancers (Basel); 2023 Feb; 15(3):. PubMed ID: 36765924
[TBL] [Abstract][Full Text] [Related]
10. Machine Learning Models for Predicting Influential Factors of Early Outcomes in Acute Ischemic Stroke: Registry-Based Study.
Su PY; Wei YC; Luo H; Liu CH; Huang WY; Chen KF; Lin CP; Wei HY; Lee TH
JMIR Med Inform; 2022 Mar; 10(3):e32508. PubMed ID: 35072631
[TBL] [Abstract][Full Text] [Related]
11. Identifying CpG methylation signature as a promising biomarker for recurrence and immunotherapy in non-small-cell lung carcinoma.
Luo R; Song J; Xiao X; Xie Z; Zhao Z; Zhang W; Miao S; Tang Y; Ran L
Aging (Albany NY); 2020 Jul; 12(14):14649-14676. PubMed ID: 32723974
[TBL] [Abstract][Full Text] [Related]
12. Development and Validation of an Individualized Immune Prognostic Signature in Early-Stage Nonsquamous Non-Small Cell Lung Cancer.
Li B; Cui Y; Diehn M; Li R
JAMA Oncol; 2017 Nov; 3(11):1529-1537. PubMed ID: 28687838
[TBL] [Abstract][Full Text] [Related]
13. Machine learning application in personalised lung cancer recurrence and survivability prediction.
Yang Y; Xu L; Sun L; Zhang P; Farid SS
Comput Struct Biotechnol J; 2022; 20():1811-1820. PubMed ID: 35521553
[TBL] [Abstract][Full Text] [Related]
14. Serum miR-142-3p is associated with early relapse in operable lung adenocarcinoma patients.
Kaduthanam S; Gade S; Meister M; Brase JC; Johannes M; Dienemann H; Warth A; Schnabel PA; Herth FJ; Sültmann H; Muley T; Kuner R
Lung Cancer; 2013 May; 80(2):223-7. PubMed ID: 23410826
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Prediction of distant recurrence in resected stage I and II lung adenocarcinoma.
Aramini B; Casali C; Stefani A; Bettelli S; Wagner S; Sangale Z; Hughes E; Lanchbury JS; Maiorana A; Morandi U
Lung Cancer; 2016 Nov; 101():82-87. PubMed ID: 27794412
[TBL] [Abstract][Full Text] [Related]
17. Prediction of clinical outcome in multiple lung cancer cohorts by integrative genomics: implications for chemotherapy selection.
Broët P; Camilleri-Broët S; Zhang S; Alifano M; Bangarusamy D; Battistella M; Wu Y; Tuefferd M; Régnard JF; Lim E; Tan P; Miller LD
Cancer Res; 2009 Feb; 69(3):1055-62. PubMed ID: 19176396
[TBL] [Abstract][Full Text] [Related]
18. Parallel comparison and combining effect of radiomic and emerging genomic data for prognostic stratification of non-small cell lung carcinoma patients.
Kim KH; Kim J; Park H; Kim H; Lee SH; Sohn I; Lee HY; Park WY
Thorac Cancer; 2020 Sep; 11(9):2542-2551. PubMed ID: 32700470
[TBL] [Abstract][Full Text] [Related]
19. FOXP3-based immune risk model for recurrence prediction in small-cell lung cancer at stages I-III.
Jiang M; Wu C; Zhang L; Sun C; Wang H; Xu Y; Sun H; Zhu J; Zhao W; Fang Q; Yu J; Chen P; Wu S; Zheng Z; He Y; Zhou C
J Immunother Cancer; 2021 May; 9(5):. PubMed ID: 34006632
[TBL] [Abstract][Full Text] [Related]
20. XML-GBM lung: An explainable machine learning-based application for the diagnosis of lung cancer.
Rikta ST; Uddin KMM; Biswas N; Mostafiz R; Sharmin F; Dey SK
J Pathol Inform; 2023; 14():100307. PubMed ID: 37025326
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
