150 related articles for article (PubMed ID: 38666025)
1. ecGBMsub: an integrative stacking ensemble model framework based on eccDNA molecular profiling for improving IDH wild-type glioblastoma molecular subtype classification.
Li Z; Wei C; Zhang Z; Han L
Front Pharmacol; 2024; 15():1375112. PubMed ID: 38666025
[TBL] [Abstract][Full Text] [Related]
2. A three-stage eccDNA based molecular profiling significantly improves the identification, prognosis assessment and recurrence prediction accuracy in patients with glioma.
Li Z; Wang B; Liang H; Li Y; Zhang Z; Han L
Cancer Lett; 2023 Oct; 574():216369. PubMed ID: 37640198
[TBL] [Abstract][Full Text] [Related]
3. Real-time milk analysis integrated with stacking ensemble learning as a tool for the daily prediction of cheese-making traits in Holstein cattle.
Mota LFM; Giannuzzi D; Bisutti V; Pegolo S; Trevisi E; Schiavon S; Gallo L; Fineboym D; Katz G; Cecchinato A
J Dairy Sci; 2022 May; 105(5):4237-4255. PubMed ID: 35282909
[TBL] [Abstract][Full Text] [Related]
4. A Stacking Ensemble Learning Framework for Genomic Prediction.
Liang M; Chang T; An B; Duan X; Du L; Wang X; Miao J; Xu L; Gao X; Zhang L; Li J; Gao H
Front Genet; 2021; 12():600040. PubMed ID: 33747037
[TBL] [Abstract][Full Text] [Related]
5. Stacked ensemble deep learning for pancreas cancer classification using extreme gradient boosting.
Bakasa W; Viriri S
Front Artif Intell; 2023; 6():1232640. PubMed ID: 37876961
[TBL] [Abstract][Full Text] [Related]
6. Heterogeneous ensemble learning for enhanced crash forecasts - A frequentist and machine learning based stacking framework.
Ahmad N; Wali B; Khattak AJ
J Safety Res; 2023 Feb; 84():418-434. PubMed ID: 36868672
[TBL] [Abstract][Full Text] [Related]
7. Brain Tumor Classification based on Improved Stacked Ensemble Deep Learning Methods.
Al-Azzwi ZHN; Nazarov AN
Asian Pac J Cancer Prev; 2023 Jun; 24(6):2141-2148. PubMed ID: 37378946
[TBL] [Abstract][Full Text] [Related]
8. LIME-based ensemble machine for predicting performance status of patients with liver cancer.
Nguyen HV; Byeon H
Digit Health; 2023; 9():20552076231211636. PubMed ID: 38025102
[TBL] [Abstract][Full Text] [Related]
9. Novel Prediction Method Applied to Wound Age Estimation: Developing a Stacking Ensemble Model to Improve Predictive Performance Based on Multi-mRNA.
Dang L; Li J; Bai X; Liu M; Li N; Ren K; Cao J; Du Q; Sun J
Diagnostics (Basel); 2023 Jan; 13(3):. PubMed ID: 36766500
[TBL] [Abstract][Full Text] [Related]
10. Evaluation of stacked ensemble model performance to predict clinical outcomes: A COVID-19 study.
Kablan R; Miller HA; Suliman S; Frieboes HB
Int J Med Inform; 2023 Jul; 175():105090. PubMed ID: 37172507
[TBL] [Abstract][Full Text] [Related]
11. Deep Ensemble Machine Learning Framework for the Estimation of
Yu W; Li S; Ye T; Xu R; Song J; Guo Y
Environ Health Perspect; 2022 Mar; 130(3):37004. PubMed ID: 35254864
[TBL] [Abstract][Full Text] [Related]
12. Stacking Ensemble Technique for Classifying Breast Cancer.
Kwon H; Park J; Lee Y
Healthc Inform Res; 2019 Oct; 25(4):283-288. PubMed ID: 31777671
[TBL] [Abstract][Full Text] [Related]
13. Predictive Role of the Apparent Diffusion Coefficient and MRI Morphologic Features on IDH Status in Patients With Diffuse Glioma: A Retrospective Cross-Sectional Study.
Zhang J; Peng H; Wang YL; Xiao HF; Cui YY; Bian XB; Zhang DK; Ma L
Front Oncol; 2021; 11():640738. PubMed ID: 34055608
[TBL] [Abstract][Full Text] [Related]
14. An interpretable stacking ensemble learning framework based on multi-dimensional data for real-time prediction of drug concentration: The example of olanzapine.
Zhu X; Hu J; Xiao T; Huang S; Wen Y; Shang D
Front Pharmacol; 2022; 13():975855. PubMed ID: 36238557
[No Abstract] [Full Text] [Related]
15. Exploring the dominant features and data-driven detection of polycystic ovary syndrome through modified stacking ensemble machine learning technique.
Alam Suha S; Islam MN
Heliyon; 2023 Mar; 9(3):e14518. PubMed ID: 36994397
[TBL] [Abstract][Full Text] [Related]
16. COVPRIG robustly predicts the overall survival of IDH wild-type glioblastoma and highlights METTL1
Ji H; Wang F; Liu Z; Li Y; Sun H; Xiao A; Zhang H; You C; Hu S; Liu Y
J Transl Med; 2023 Aug; 21(1):533. PubMed ID: 37553713
[TBL] [Abstract][Full Text] [Related]
17. Multi-Modal Stacking Ensemble for the Diagnosis of Cardiovascular Diseases.
Yoon T; Kang D
J Pers Med; 2023 Feb; 13(2):. PubMed ID: 36836607
[TBL] [Abstract][Full Text] [Related]
18. A Bayesian optimization tunning integrated multi-stacking classifier framework for the prediction of radiodermatitis from 4D-CT of patients underwent breast cancer radiotherapy.
Wu K; Miu X; Wang H; Li X
Front Oncol; 2023; 13():1152020. PubMed ID: 37384290
[TBL] [Abstract][Full Text] [Related]
19. Exploiting ensemble learning to improve prediction of phospholipidosis inducing potential.
Nath A; Sahu GK
J Theor Biol; 2019 Oct; 479():37-47. PubMed ID: 31310757
[TBL] [Abstract][Full Text] [Related]
20. Pharmacogenomic profiling reveals molecular features of chemotherapy resistance in IDH wild-type primary glioblastoma.
Nam Y; Koo H; Yang Y; Shin S; Zhu Z; Kim D; Cho HJ; Mu Q; Choi SW; Sa JK; Seo YJ; Kim Y; Lee K; Oh JW; Kwon YJ; Park WY; Kong DS; Seol HJ; Lee JI; Park CK; Lee HW; Yoon Y; Wang J
Genome Med; 2023 Mar; 15(1):16. PubMed ID: 36915208
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]