426 related articles for article (PubMed ID: 35570979)
1. Artificial Intelligence-Based Ensemble Learning Model for Prediction of Hepatitis C Disease.
Edeh MO; Dalal S; Dhaou IB; Agubosim CC; Umoke CC; Richard-Nnabu NE; Dahiya N
Front Public Health; 2022; 10():892371. PubMed ID: 35570979
[TBL] [Abstract][Full Text] [Related]
2. A machine learning-based treatment prediction model using whole genome variants of hepatitis C virus.
Haga H; Sato H; Koseki A; Saito T; Okumoto K; Hoshikawa K; Katsumi T; Mizuno K; Nishina T; Ueno Y
PLoS One; 2020; 15(11):e0242028. PubMed ID: 33152046
[TBL] [Abstract][Full Text] [Related]
3. Benchmarking of Machine Learning classifiers on plasma proteomic for COVID-19 severity prediction through interpretable artificial intelligence.
Dimitsaki S; Gavriilidis GI; Dimitriadis VK; Natsiavas P
Artif Intell Med; 2023 Mar; 137():102490. PubMed ID: 36868685
[TBL] [Abstract][Full Text] [Related]
4. IHCP: interpretable hepatitis C prediction system based on black-box machine learning models.
Fan Y; Lu X; Sun G
BMC Bioinformatics; 2023 Sep; 24(1):333. PubMed ID: 37674125
[TBL] [Abstract][Full Text] [Related]
5. An Ensemble Learning Model for COVID-19 Detection from Blood Test Samples.
Abayomi-Alli OO; Damaševičius R; Maskeliūnas R; Misra S
Sensors (Basel); 2022 Mar; 22(6):. PubMed ID: 35336395
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Machine Learning-Based Boosted Regression Ensemble Combined with Hyperparameter Tuning for Optimal Adaptive Learning.
Isabona J; Imoize AL; Kim Y
Sensors (Basel); 2022 May; 22(10):. PubMed ID: 35632184
[TBL] [Abstract][Full Text] [Related]
8. The mathematics of erythema: Development of machine learning models for artificial intelligence assisted measurement and severity scoring of radiation induced dermatitis.
Ranjan R; Partl R; Erhart R; Kurup N; Schnidar H
Comput Biol Med; 2021 Dec; 139():104952. PubMed ID: 34739967
[TBL] [Abstract][Full Text] [Related]
9. Improving the Accuracy of Ensemble Machine Learning Classification Models Using a Novel Bit-Fusion Algorithm for Healthcare AI Systems.
Mishra S; Shaw K; Mishra D; Patil S; Kotecha K; Kumar S; Bajaj S
Front Public Health; 2022; 10():858282. PubMed ID: 35602150
[TBL] [Abstract][Full Text] [Related]
10. Application of artificial intelligence ensemble learning model in early prediction of atrial fibrillation.
Wu C; Hwang M; Huang TH; Chen YJ; Chang YJ; Ho TH; Huang J; Hwang KS; Ho WH
BMC Bioinformatics; 2021 Nov; 22(Suppl 5):93. PubMed ID: 34749631
[TBL] [Abstract][Full Text] [Related]
11. Deep Ensemble Fake News Detection Model Using Sequential Deep Learning Technique.
Ali AM; Ghaleb FA; Al-Rimy BAS; Alsolami FJ; Khan AI
Sensors (Basel); 2022 Sep; 22(18):. PubMed ID: 36146319
[TBL] [Abstract][Full Text] [Related]
12. Prediction of Dental Implants Using Machine Learning Algorithms.
Alharbi MT; Almutiq MM
J Healthc Eng; 2022; 2022():7307675. PubMed ID: 35769356
[TBL] [Abstract][Full Text] [Related]
13. Artificial intelligence applications in allergic rhinitis diagnosis: Focus on ensemble learning.
Fu D; Chuanliang Z; Jingdong Y; Yifei M; Shiwang T; Yue Q; Shaoqing Y
Asia Pac Allergy; 2024 Jun; 14(2):56-62. PubMed ID: 38827260
[TBL] [Abstract][Full Text] [Related]
14. A Comparative Performance Assessment of Optimized Multilevel Ensemble Learning Model with Existing Classifier Models.
Kumar M; Bajaj K; Sharma B; Narang S
Big Data; 2022 Oct; 10(5):371-387. PubMed ID: 34881989
[TBL] [Abstract][Full Text] [Related]
15. An interpretable ensemble structure with a non-iterative training algorithm to improve the predictive accuracy of healthcare data analysis.
Izonin I; Tkachenko R; Yemets K; Havryliuk M
Sci Rep; 2024 Jun; 14(1):12947. PubMed ID: 38839889
[TBL] [Abstract][Full Text] [Related]
16. Application of Artificial Intelligence for Preoperative Diagnostic and Prognostic Prediction in Epithelial Ovarian Cancer Based on Blood Biomarkers.
Kawakami E; Tabata J; Yanaihara N; Ishikawa T; Koseki K; Iida Y; Saito M; Komazaki H; Shapiro JS; Goto C; Akiyama Y; Saito R; Saito M; Takano H; Yamada K; Okamoto A
Clin Cancer Res; 2019 May; 25(10):3006-3015. PubMed ID: 30979733
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Machine learning random forest for predicting oncosomatic variant NGS analysis.
Pellegrino E; Jacques C; Beaufils N; Nanni I; Carlioz A; Metellus P; Ouafik L
Sci Rep; 2021 Nov; 11(1):21820. PubMed ID: 34750410
[TBL] [Abstract][Full Text] [Related]
19. Prediction of Cancer Treatment Using Advancements in Machine Learning.
Singh AK; Ling J; Malviya R
Recent Pat Anticancer Drug Discov; 2023; 18(3):364-378. PubMed ID: 36263487
[TBL] [Abstract][Full Text] [Related]
20. Real-time prediction of river chloride concentration using ensemble learning.
Zhang Q; Li Z; Zhu L; Zhang F; Sekerinski E; Han JC; Zhou Y
Environ Pollut; 2021 Dec; 291():118116. PubMed ID: 34537597
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
