212 related articles for article (PubMed ID: 34091384)
1. 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]
2. 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]
3. 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]
4. 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]
5. Adaptive swarm cluster-based dynamic multi-objective synthetic minority oversampling technique algorithm for tackling binary imbalanced datasets in biomedical data classification.
Li J; Fong S; Sung Y; Cho K; Wong R; Wong KKL
BioData Min; 2016; 9():37. PubMed ID: 27980678
[TBL] [Abstract][Full Text] [Related]
6. An oversampling method for multi-class imbalanced data based on composite weights.
Deng M; Guo Y; Wang C; Wu F
PLoS One; 2021; 16(11):e0259227. PubMed ID: 34767567
[TBL] [Abstract][Full Text] [Related]
7. Analysis of Parkinson's Disease Using an Imbalanced-Speech Dataset by Employing Decision Tree Ensemble Methods.
Barukab O; Ahmad A; Khan T; Thayyil Kunhumuhammed MR
Diagnostics (Basel); 2022 Nov; 12(12):. PubMed ID: 36553007
[TBL] [Abstract][Full Text] [Related]
8. Implications of resampling data to address the class imbalance problem (IRCIP): an evaluation of impact on performance between classification algorithms in medical data.
Welvaars K; Oosterhoff JHF; van den Bekerom MPJ; Doornberg JN; van Haarst EP;
JAMIA Open; 2023 Jul; 6(2):ooad033. PubMed ID: 37266187
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. CURE-SMOTE algorithm and hybrid algorithm for feature selection and parameter optimization based on random forests.
Ma L; Fan S
BMC Bioinformatics; 2017 Mar; 18(1):169. PubMed ID: 28292263
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. Outlier-SMOTE: A refined oversampling technique for improved detection of COVID-19.
Turlapati VPK; Prusty MR
Intell Based Med; 2020 Dec; 3():100023. PubMed ID: 33289013
[TBL] [Abstract][Full Text] [Related]
13. Effective treatment of imbalanced datasets in health care using modified SMOTE coupled with stacked deep learning algorithms.
Sowjanya AM; Mrudula O
Appl Nanosci; 2023; 13(3):1829-1840. PubMed ID: 35132368
[TBL] [Abstract][Full Text] [Related]
14. The Impact of Oversampling with SMOTE on the Performance of 3 Classifiers in Prediction of Type 2 Diabetes.
Ramezankhani A; Pournik O; Shahrabi J; Azizi F; Hadaegh F; Khalili D
Med Decis Making; 2016 Jan; 36(1):137-44. PubMed ID: 25449060
[TBL] [Abstract][Full Text] [Related]
15. Enhancing and improving the performance of imbalanced class data using novel GBO and SSG: A comparative analysis.
Ahsan MM; Ali MS; Siddique Z
Neural Netw; 2024 May; 173():106157. PubMed ID: 38335796
[TBL] [Abstract][Full Text] [Related]
16. Combining Resampling Strategies and Ensemble Machine Learning Methods to Enhance Prediction of Neonates with a Low Apgar Score After Induction of Labor in Northern Tanzania.
Tarimo CS; Bhuyan SS; Li Q; Ren W; Mahande MJ; Wu J
Risk Manag Healthc Policy; 2021; 14():3711-3720. PubMed ID: 34522147
[TBL] [Abstract][Full Text] [Related]
17. A cluster-based SMOTE both-sampling (CSBBoost) ensemble algorithm for classifying imbalanced data.
Salehi AR; Khedmati M
Sci Rep; 2024 Mar; 14(1):5152. PubMed ID: 38431701
[TBL] [Abstract][Full Text] [Related]
18. Hybrid Multi-Label Classification Model for Medical Applications Based on Adaptive Synthetic Data and Ensemble Learning.
Priyadharshini M; Banu AF; Sharma B; Chowdhury S; Rabie K; Shongwe T
Sensors (Basel); 2023 Jul; 23(15):. PubMed ID: 37571619
[TBL] [Abstract][Full Text] [Related]
19. SMOTE for high-dimensional class-imbalanced data.
Blagus R; Lusa L
BMC Bioinformatics; 2013 Mar; 14():106. PubMed ID: 23522326
[TBL] [Abstract][Full Text] [Related]
20. Machine-Learning Approach to Optimize SMOTE Ratio in Class Imbalance Dataset for Intrusion Detection.
Seo JH; Kim YH
Comput Intell Neurosci; 2018; 2018():9704672. PubMed ID: 30515202
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]