126 related articles for article (PubMed ID: 30624235)
1. An Ensemble Model With Clustering Assumption for Warfarin Dose Prediction in Chinese Patients.
Tao Y; Chen YJ; Xue L; Xie C; Jiang B; Zhang Y
IEEE J Biomed Health Inform; 2019 Nov; 23(6):2642-2654. PubMed ID: 30624235
[TBL] [Abstract][Full Text] [Related]
2. DBCSMOTE: a clustering-based oversampling technique for data-imbalanced warfarin dose prediction.
Tao Y; Zhang Y; Jiang B
BMC Med Genomics; 2020 Oct; 13(Suppl 10):152. PubMed ID: 33087117
[TBL] [Abstract][Full Text] [Related]
3. Evolutionary Ensemble Learning Algorithm to Modeling of Warfarin Dose Prediction for Chinese.
Tao Y; Chen YJ; Fu X; Jiang B; Zhang Y
IEEE J Biomed Health Inform; 2019 Jan; 23(1):395-406. PubMed ID: 29993619
[TBL] [Abstract][Full Text] [Related]
4. Comparison of Nine Statistical Model Based Warfarin Pharmacogenetic Dosing Algorithms Using the Racially Diverse International Warfarin Pharmacogenetic Consortium Cohort Database.
Liu R; Li X; Zhang W; Zhou HH
PLoS One; 2015; 10(8):e0135784. PubMed ID: 26305568
[TBL] [Abstract][Full Text] [Related]
5. A prediction study of warfarin individual stable dose after mechanical heart valve replacement: adaptive neural-fuzzy inference system prediction.
Tao H; Li Q; Zhou Q; Chen J; Fu B; Wang J; Qin W; Hou J; Chen J; Dong L;
BMC Surg; 2018 Feb; 18(1):10. PubMed ID: 29448930
[TBL] [Abstract][Full Text] [Related]
6. Verification of pharmacogenetics-based warfarin dosing algorithms in Han-Chinese patients undertaking mechanic heart valve replacement.
Zhao L; Chen C; Li B; Dong L; Guo Y; Xiao X; Zhang E; Qin L
PLoS One; 2014; 9(4):e94573. PubMed ID: 24728385
[TBL] [Abstract][Full Text] [Related]
7. An Adapted Neural-Fuzzy Inference System Model Using Preprocessed Balance Data to Improve the Predictive Accuracy of Warfarin Maintenance Dosing in Patients After Heart Valve Replacement.
Gu ZC; Huang SR; Dong L; Zhou Q; Wang J; Fu B; Chen J
Cardiovasc Drugs Ther; 2022 Oct; 36(5):879-889. PubMed ID: 33877502
[TBL] [Abstract][Full Text] [Related]
8. Fuzzy weighted support vector regression with a fuzzy partition.
Chuang CC
IEEE Trans Syst Man Cybern B Cybern; 2007 Jun; 37(3):630-40. PubMed ID: 17550117
[TBL] [Abstract][Full Text] [Related]
9. Self-adaptive prediction of cloud resource demands using ensemble model and subtractive-fuzzy clustering based fuzzy neural network.
Chen Z; Zhu Y; Di Y; Feng S
Comput Intell Neurosci; 2015; 2015():919805. PubMed ID: 25691896
[TBL] [Abstract][Full Text] [Related]
10. Comparative performance of warfarin pharmacogenetic algorithms in Chinese patients.
Liu Y; Yang J; Xu Q; Xu B; Gao L; Zhang Y; Zhang Y; Wang H; Lu C; Zhao Y; Yin T
Thromb Res; 2012 Sep; 130(3):435-40. PubMed ID: 22374335
[TBL] [Abstract][Full Text] [Related]
11. Validation and comparison of pharmacogenetics-based warfarin dosing algorithms for application of pharmacogenetic testing.
Roper N; Storer B; Bona R; Fang M
J Mol Diagn; 2010 May; 12(3):283-91. PubMed ID: 20228265
[TBL] [Abstract][Full Text] [Related]
12. Hybrid fuzzy cluster ensemble framework for tumor clustering from biomolecular data.
Yu Z; Chen H; You J; Han G; Li L
IEEE/ACM Trans Comput Biol Bioinform; 2013; 10(3):657-70. PubMed ID: 24091399
[TBL] [Abstract][Full Text] [Related]
13. Predicting warfarin dosage from clinical data: a supervised learning approach.
Hu YH; Wu F; Lo CL; Tai CT
Artif Intell Med; 2012 Sep; 56(1):27-34. PubMed ID: 22537823
[TBL] [Abstract][Full Text] [Related]
14. Warfarin maintenance dose Prediction for Patients undergoing heart valve replacement- a hybrid model with genetic algorithm and Back-Propagation neural network.
Li Q; Tao H; Wang J; Zhou Q; Chen J; Qin WZ; Dong L; Fu B; Hou JL; Chen J; Zhang WH
Sci Rep; 2018 Jun; 8(1):9712. PubMed ID: 29946101
[TBL] [Abstract][Full Text] [Related]
15. Comparison of the predictive abilities of pharmacogenetics-based warfarin dosing algorithms using seven mathematical models in Chinese patients.
Li X; Liu R; Luo ZY; Yan H; Huang WH; Yin JY; Mao XY; Chen XP; Liu ZQ; Zhou HH; Zhang W
Pharmacogenomics; 2015; 16(6):583-90. PubMed ID: 25872772
[TBL] [Abstract][Full Text] [Related]
16. Accuracy assessment of pharmacogenetically predictive warfarin dosing algorithms in patients of an academic medical center anticoagulation clinic.
Shaw PB; Donovan JL; Tran MT; Lemon SC; Burgwinkle P; Gore J
J Thromb Thrombolysis; 2010 Aug; 30(2):220-5. PubMed ID: 20204461
[TBL] [Abstract][Full Text] [Related]
17. Prediction of optimal warfarin maintenance dose using advanced artificial neural networks.
Grossi E; Podda GM; Pugliano M; Gabba S; Verri A; Carpani G; Buscema M; Casazza G; Cattaneo M
Pharmacogenomics; 2014 Jan; 15(1):29-37. PubMed ID: 24329188
[TBL] [Abstract][Full Text] [Related]
18. Improved stacking ensemble learning based on feature selection to accurately predict warfarin dose.
Wang M; Qian Y; Yang Y; Chen H; Rao WF
Front Cardiovasc Med; 2023; 10():1320938. PubMed ID: 38312950
[TBL] [Abstract][Full Text] [Related]
19. Evaluation of Teachers' Educational Technology Ability Based on Fuzzy Clustering Generalized Regression Neural Network.
Zhao J; Guan H; Lu C; Zheng Y
Comput Intell Neurosci; 2021; 2021():1867723. PubMed ID: 34557224
[TBL] [Abstract][Full Text] [Related]
20. Validation of warfarin pharmacogenetic algorithms in clinical practice.
Marin-Leblanc M; Perreault S; Bahroun I; Lapointe M; Mongrain I; Provost S; Turgeon J; Talajic M; Brugada R; Phillips M; Tardif JC; Dubé MP
Pharmacogenomics; 2012 Jan; 13(1):21-9. PubMed ID: 22176621
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]