211 related articles for article (PubMed ID: 31312985)
21. Machine learning model for predicting malaria using clinical information.
Lee YW; Choi JW; Shin EH
Comput Biol Med; 2021 Feb; 129():104151. PubMed ID: 33290932
[TBL] [Abstract][Full Text] [Related]
22. Classification of toxicity effects of biotransformed hepatic drugs using whale optimized support vector machines.
Tharwat A; Moemen YS; Hassanien AE
J Biomed Inform; 2017 Apr; 68():132-149. PubMed ID: 28286029
[TBL] [Abstract][Full Text] [Related]
23. 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]
24. ADMET Evaluation in Drug Discovery. 18. Reliable Prediction of Chemical-Induced Urinary Tract Toxicity by Boosting Machine Learning Approaches.
Lei T; Sun H; Kang Y; Zhu F; Liu H; Zhou W; Wang Z; Li D; Li Y; Hou T
Mol Pharm; 2017 Nov; 14(11):3935-3953. PubMed ID: 29037046
[TBL] [Abstract][Full Text] [Related]
25. Enhancement of hepatitis virus immunoassay outcome predictions in imbalanced routine pathology data by data balancing and feature selection before the application of support vector machines.
Richardson AM; Lidbury BA
BMC Med Inform Decis Mak; 2017 Aug; 17(1):121. PubMed ID: 28806936
[TBL] [Abstract][Full Text] [Related]
26. 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]
27. Wireless Sensor Networks Intrusion Detection Based on SMOTE and the Random Forest Algorithm.
Tan X; Su S; Huang Z; Guo X; Zuo Z; Sun X; Li L
Sensors (Basel); 2019 Jan; 19(1):. PubMed ID: 30626020
[TBL] [Abstract][Full Text] [Related]
28. 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]
29. Correlating exhaled aerosol images to small airway obstructive diseases: A study with dynamic mode decomposition and machine learning.
Xi J; Zhao W
PLoS One; 2019; 14(1):e0211413. PubMed ID: 30703132
[TBL] [Abstract][Full Text] [Related]
30. Machine learning methods for imbalanced data set for prediction of faecal contamination in beach waters.
Bourel M; Segura AM; Crisci C; López G; Sampognaro L; Vidal V; Kruk C; Piccini C; Perera G
Water Res; 2021 Sep; 202():117450. PubMed ID: 34352535
[TBL] [Abstract][Full Text] [Related]
31. A review of image analysis and machine learning techniques for automated cervical cancer screening from pap-smear images.
William W; Ware A; Basaza-Ejiri AH; Obungoloch J
Comput Methods Programs Biomed; 2018 Oct; 164():15-22. PubMed ID: 30195423
[TBL] [Abstract][Full Text] [Related]
32. Automatic and Early Detection of Parkinson's Disease by Analyzing Acoustic Signals Using Classification Algorithms Based on Recursive Feature Elimination Method.
Alalayah KM; Senan EM; Atlam HF; Ahmed IA; Shatnawi HSA
Diagnostics (Basel); 2023 May; 13(11):. PubMed ID: 37296776
[TBL] [Abstract][Full Text] [Related]
33. Clinical data classification using an enhanced SMOTE and chaotic evolutionary feature selection.
Sreejith S; Khanna Nehemiah H; Kannan A
Comput Biol Med; 2020 Nov; 126():103991. PubMed ID: 32987205
[TBL] [Abstract][Full Text] [Related]
34. Predicting the Cochlear Dead Regions Using a Machine Learning-Based Approach with Oversampling Techniques.
Chang YS; Park HS; Moon IJ
Medicina (Kaunas); 2021 Nov; 57(11):. PubMed ID: 34833410
[No Abstract] [Full Text] [Related]
35. 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]
36. Network intrusion detection using oversampling technique and machine learning algorithms.
Ahmed HA; Hameed A; Bawany NZ
PeerJ Comput Sci; 2022; 8():e820. PubMed ID: 35111914
[TBL] [Abstract][Full Text] [Related]
37. Differences in biologic maturation, sexual behavior, and sexually transmitted disease between adolescents with and without cervical intraepithelial neoplasia.
Moscicki AB; Winkler B; Irwin CE; Schachter J
J Pediatr; 1989 Sep; 115(3):487-93. PubMed ID: 2769512
[TBL] [Abstract][Full Text] [Related]
38. 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]
39. Prediction Model for Infectious Disease Health Literacy Based on Synthetic Minority Oversampling Technique Algorithm.
Zhou R; Yin W; Li W; Wang Y; Lu J; Li Z; Hu X
Comput Math Methods Med; 2022; 2022():8498159. PubMed ID: 35371281
[TBL] [Abstract][Full Text] [Related]
40. Ensemble Feature Learning of Genomic Data Using Support Vector Machine.
Anaissi A; Goyal M; Catchpoole DR; Braytee A; Kennedy PJ
PLoS One; 2016; 11(6):e0157330. PubMed ID: 27304923
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
