533 related articles for article (PubMed ID: 33372637)
1. Structure-activity relationship-based chemical classification of highly imbalanced Tox21 datasets.
Idakwo G; Thangapandian S; Luttrell J; Li Y; Wang N; Zhou Z; Hong H; Yang B; Zhang C; Gong P
J Cheminform; 2020 Oct; 12(1):66. PubMed ID: 33372637
[TBL] [Abstract][Full Text] [Related]
2. Joint modeling strategy for using electronic medical records data to build machine learning models: an example of intracerebral hemorrhage.
Tang J; Wang X; Wan H; Lin C; Shao Z; Chang Y; Wang H; Wu Y; Zhang T; Du Y
BMC Med Inform Decis Mak; 2022 Oct; 22(1):278. PubMed ID: 36284327
[TBL] [Abstract][Full Text] [Related]
3. A hybrid sampling algorithm combining M-SMOTE and ENN based on Random forest for medical imbalanced data.
Xu Z; Shen D; Nie T; Kou Y
J Biomed Inform; 2020 Jul; 107():103465. PubMed ID: 32512209
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Binary classification of a large collection of environmental chemicals from estrogen receptor assays by quantitative structure-activity relationship and machine learning methods.
Zang Q; Rotroff DM; Judson RS
J Chem Inf Model; 2013 Dec; 53(12):3244-61. PubMed ID: 24279462
[TBL] [Abstract][Full Text] [Related]
6. A hybrid sampling algorithm combining synthetic minority over-sampling technique and edited nearest neighbor for missed abortion diagnosis.
Yang F; Wang K; Sun L; Zhai M; Song J; Wang H
BMC Med Inform Decis Mak; 2022 Dec; 22(1):344. PubMed ID: 36581862
[TBL] [Abstract][Full Text] [Related]
7. A hybrid resampling algorithms SMOTE and ENN based deep learning models for identification of Marburg virus inhibitors.
Kumari M; Subbarao N
Future Med Chem; 2022 May; 14(10):701-715. PubMed ID: 35393862
[No Abstract] [Full Text] [Related]
8. RSMOTE: improving classification performance over imbalanced medical datasets.
Naseriparsa M; Al-Shammari A; Sheng M; Zhang Y; Zhou R
Health Inf Sci Syst; 2020 Dec; 8(1):22. PubMed ID: 32549976
[TBL] [Abstract][Full Text] [Related]
9. Identifying Protein Features and Pathways Responsible for Toxicity Using Machine Learning and Tox21: Implications for Predictive Toxicology.
Moukheiber L; Mangione W; Moukheiber M; Maleki S; Falls Z; Gao M; Samudrala R
Molecules; 2022 May; 27(9):. PubMed ID: 35566372
[TBL] [Abstract][Full Text] [Related]
10. A hybrid Stacking-SMOTE model for optimizing the prediction of autistic genes.
Ismail E; Gad W; Hashem M
BMC Bioinformatics; 2023 Oct; 24(1):379. PubMed ID: 37803253
[TBL] [Abstract][Full Text] [Related]
11. An efficient algorithm coupled with synthetic minority over-sampling technique to classify imbalanced PubChem BioAssay data.
Hao M; Wang Y; Bryant SH
Anal Chim Acta; 2014 Jan; 806():117-27. PubMed ID: 24331047
[TBL] [Abstract][Full Text] [Related]
12. A comparative study in class imbalance mitigation when working with physiological signals.
Abdulsadig RS; Rodriguez-Villegas E
Front Digit Health; 2024; 6():1377165. PubMed ID: 38595932
[TBL] [Abstract][Full Text] [Related]
13. A comprehensive data level analysis for cancer diagnosis on imbalanced data.
Fotouhi S; Asadi S; Kattan MW
J Biomed Inform; 2019 Feb; 90():103089. PubMed ID: 30611011
[TBL] [Abstract][Full Text] [Related]
14. Improvement of P300-Based Brain-Computer Interfaces for Home Appliances Control by Data Balancing Techniques.
Lee T; Kim M; Kim SP
Sensors (Basel); 2020 Sep; 20(19):. PubMed ID: 33003367
[TBL] [Abstract][Full Text] [Related]
15. Immune centroids oversampling method for binary classification.
Ai X; Wu J; Sheng VS; Zhao P; Cui Z
Comput Intell Neurosci; 2015; 2015():109806. PubMed ID: 25834570
[TBL] [Abstract][Full Text] [Related]
16. A multiple combined method for rebalancing medical data with class imbalances.
Wang YC; Cheng CH
Comput Biol Med; 2021 Jul; 134():104527. PubMed ID: 34091384
[TBL] [Abstract][Full Text] [Related]
17. A Synthetic Minority Oversampling Technique Based on Gaussian Mixture Model Filtering for Imbalanced Data Classification.
Xu Z; Shen D; Kou Y; Nie T
IEEE Trans Neural Netw Learn Syst; 2024 Mar; 35(3):3740-3753. PubMed ID: 35984792
[TBL] [Abstract][Full Text] [Related]
18. Comparison of Resampling Techniques for Imbalanced Datasets in Machine Learning: Application to Epileptogenic Zone Localization From Interictal Intracranial EEG Recordings in Patients With Focal Epilepsy.
Varotto G; Susi G; Tassi L; Gozzo F; Franceschetti S; Panzica F
Front Neuroinform; 2021; 15():715421. PubMed ID: 34867255
[No Abstract] [Full Text] [Related]
19. Prediction of low Apgar score at five minutes following labor induction intervention in vaginal deliveries: machine learning approach for imbalanced data at a tertiary hospital in North Tanzania.
Tarimo CS; Bhuyan SS; Zhao Y; Ren W; Mohammed A; Li Q; Gardner M; Mahande MJ; Wang Y; Wu J
BMC Pregnancy Childbirth; 2022 Apr; 22(1):275. PubMed ID: 35365129
[TBL] [Abstract][Full Text] [Related]
20. Comparative Studies on Resampling Techniques in Machine Learning and Deep Learning Models for Drug-Target Interaction Prediction.
Azlim Khan AK; Ahamed Hassain Malim NH
Molecules; 2023 Feb; 28(4):. PubMed ID: 36838652
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
