155 related articles for article (PubMed ID: 38312584)
1. Improving diabetes disease patients classification using stacking ensemble method with PIMA and local healthcare data.
Reza MS; Amin R; Yasmin R; Kulsum W; Ruhi S
Heliyon; 2024 Jan; 10(2):e24536. PubMed ID: 38312584
[TBL] [Abstract][Full Text] [Related]
2. Establishment of noninvasive diabetes risk prediction model based on tongue features and machine learning techniques.
Li J; Chen Q; Hu X; Yuan P; Cui L; Tu L; Cui J; Huang J; Jiang T; Ma X; Yao X; Zhou C; Lu H; Xu J
Int J Med Inform; 2021 May; 149():104429. PubMed ID: 33647600
[TBL] [Abstract][Full Text] [Related]
3. A diabetes prediction model based on Boruta feature selection and ensemble learning.
Zhou H; Xin Y; Li S
BMC Bioinformatics; 2023 Jun; 24(1):224. PubMed ID: 37264332
[TBL] [Abstract][Full Text] [Related]
4. Prediction of diabetes disease using an ensemble of machine learning multi-classifier models.
Abnoosian K; Farnoosh R; Behzadi MH
BMC Bioinformatics; 2023 Sep; 24(1):337. PubMed ID: 37697283
[TBL] [Abstract][Full Text] [Related]
5. Stacking Ensemble and ECA-EfficientNetV2 Convolutional Neural Networks on Classification of Multiple Chest Diseases Including COVID-19.
Huang ML; Liao YC
Acad Radiol; 2023 Sep; 30(9):1915-1935. PubMed ID: 36526533
[TBL] [Abstract][Full Text] [Related]
6. An Ensemble Approach for the Prediction of Diabetes Mellitus Using a Soft Voting Classifier with an Explainable AI.
Kibria HB; Nahiduzzaman M; Goni MOF; Ahsan M; Haider J
Sensors (Basel); 2022 Sep; 22(19):. PubMed ID: 36236367
[TBL] [Abstract][Full Text] [Related]
7. A new hybrid ensemble machine-learning model for severity risk assessment and post-COVID prediction system.
Shakhovska N; Yakovyna V; Chopyak V
Math Biosci Eng; 2022 Apr; 19(6):6102-6123. PubMed ID: 35603393
[TBL] [Abstract][Full Text] [Related]
8. RDET stacking classifier: a novel machine learning based approach for stroke prediction using imbalance data.
Rehman A; Alam T; Mujahid M; Alamri FS; Ghofaily BA; Saba T
PeerJ Comput Sci; 2023; 9():e1684. PubMed ID: 38077612
[TBL] [Abstract][Full Text] [Related]
9. Stacking with Recursive Feature Elimination-Isolation Forest for classification of diabetes mellitus.
Idris NF; Ismail MA; Jaya MIM; Ibrahim AO; Abulfaraj AW; Binzagr F
PLoS One; 2024; 19(5):e0302595. PubMed ID: 38718024
[TBL] [Abstract][Full Text] [Related]
10. Diabetes mellitus prediction and diagnosis from a data preprocessing and machine learning perspective.
Olisah CC; Smith L; Smith M
Comput Methods Programs Biomed; 2022 Jun; 220():106773. PubMed ID: 35429810
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. An ensemble learning approach for diabetes prediction using boosting techniques.
Ganie SM; Pramanik PKD; Bashir Malik M; Mallik S; Qin H
Front Genet; 2023; 14():1252159. PubMed ID: 37953921
[No Abstract] [Full Text] [Related]
13. A New Approach for Gastrointestinal Tract Findings Detection and Classification: Deep Learning-Based Hybrid Stacking Ensemble Models.
Sivari E; Bostanci E; Guzel MS; Acici K; Asuroglu T; Ercelebi Ayyildiz T
Diagnostics (Basel); 2023 Feb; 13(4):. PubMed ID: 36832205
[TBL] [Abstract][Full Text] [Related]
14. An efficient ensemble based machine learning approach for predicting Chronic Kidney Disease.
Chhabra D; Juneja M; Chutani G
Curr Med Imaging; 2023 May; ():. PubMed ID: 37157217
[TBL] [Abstract][Full Text] [Related]
15. Deep learning approach for diabetes prediction using PIMA Indian dataset.
Naz H; Ahuja S
J Diabetes Metab Disord; 2020 Jun; 19(1):391-403. PubMed ID: 32550190
[TBL] [Abstract][Full Text] [Related]
16. Deep Ensemble Learning Approaches in Healthcare to Enhance the Prediction and Diagnosing Performance: The Workflows, Deployments, and Surveys on the Statistical, Image-Based, and Sequential Datasets.
Nguyen DK; Lan CH; Chan CL
Int J Environ Res Public Health; 2021 Oct; 18(20):. PubMed ID: 34682554
[TBL] [Abstract][Full Text] [Related]
17. Deep ensemble learning for Alzheimer's disease classification.
An N; Ding H; Yang J; Au R; Ang TFA
J Biomed Inform; 2020 May; 105():103411. PubMed ID: 32234546
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Classification of Parkinson's disease based on multi-modal features and stacking ensemble learning.
Yang Y; Wei L; Hu Y; Wu Y; Hu L; Nie S
J Neurosci Methods; 2021 Feb; 350():109019. PubMed ID: 33321153
[TBL] [Abstract][Full Text] [Related]
20. KFPredict: An ensemble learning prediction framework for diabetes based on fusion of key features.
Qi H; Song X; Liu S; Zhang Y; Wong KKL
Comput Methods Programs Biomed; 2023 Apr; 231():107378. PubMed ID: 36731312
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
