175 related articles for article (PubMed ID: 25551575)
21. Prediction of different types of liver diseases using rule based classification model.
Kumar Y; Sahoo G
Technol Health Care; 2013; 21(5):417-32. PubMed ID: 23963359
[TBL] [Abstract][Full Text] [Related]
22. An approach for classification of highly imbalanced data using weighting and undersampling.
Anand A; Pugalenthi G; Fogel GB; Suganthan PN
Amino Acids; 2010 Nov; 39(5):1385-91. PubMed ID: 20411285
[TBL] [Abstract][Full Text] [Related]
23. A comparative study of supervised learning as applied to acronym expansion in clinical reports.
Joshi M; Pakhomov S; Pedersen T; Chute CG
AMIA Annu Symp Proc; 2006; 2006():399-403. PubMed ID: 17238371
[TBL] [Abstract][Full Text] [Related]
24. Machine learning models for lipophilicity and their domain of applicability.
Schroeter T; Schwaighofer A; Mika S; Laak AT; Suelzle D; Ganzer U; Heinrich N; Müller KR
Mol Pharm; 2007; 4(4):524-38. PubMed ID: 17637064
[TBL] [Abstract][Full Text] [Related]
25. Performance comparison of machine learning methods for prognosis of hormone receptor status in breast cancer tissue samples.
Kalinli A; Sarikoc F; Akgun H; Ozturk F
Comput Methods Programs Biomed; 2013 Jun; 110(3):298-307. PubMed ID: 23339901
[TBL] [Abstract][Full Text] [Related]
26. Robust support vector machine-trained fuzzy system.
Forghani Y; Yazdi HS
Neural Netw; 2014 Feb; 50():154-65. PubMed ID: 24316676
[TBL] [Abstract][Full Text] [Related]
27. Prediction of human breast and colon cancers from imbalanced data using nearest neighbor and support vector machines.
Majid A; Ali S; Iqbal M; Kausar N
Comput Methods Programs Biomed; 2014 Mar; 113(3):792-808. PubMed ID: 24472367
[TBL] [Abstract][Full Text] [Related]
28. 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]
29. Automated validation of patient safety clinical incident classification: macro analysis.
Gupta J; Patrick J
Stud Health Technol Inform; 2013; 188():52-7. PubMed ID: 23823288
[TBL] [Abstract][Full Text] [Related]
30. Empirical study of seven data mining algorithms on different characteristics of datasets for biomedical classification applications.
Zhang Y; Xin Y; Li Q; Ma J; Li S; Lv X; Lv W
Biomed Eng Online; 2017 Nov; 16(1):125. PubMed ID: 29096638
[TBL] [Abstract][Full Text] [Related]
31. Towards role-based filtering of disease outbreak reports.
Doan S; Kawazoe A; Conway M; Collier N
J Biomed Inform; 2009 Oct; 42(5):773-80. PubMed ID: 19171201
[TBL] [Abstract][Full Text] [Related]
32. An efficient statistical feature selection approach for classification of gene expression data.
Chandra B; Gupta M
J Biomed Inform; 2011 Aug; 44(4):529-35. PubMed ID: 21241823
[TBL] [Abstract][Full Text] [Related]
33. A tool for urban soundscape evaluation applying Support Vector Machines for developing a soundscape classification model.
Torija AJ; Ruiz DP; Ramos-Ridao AF
Sci Total Environ; 2014 Jun; 482-483():440-51. PubMed ID: 24007752
[TBL] [Abstract][Full Text] [Related]
34. Predicting potential cancer genes by integrating network properties, sequence features and functional annotations.
Liu W; Xie H
Sci China Life Sci; 2013 Aug; 56(8):751-7. PubMed ID: 23838808
[TBL] [Abstract][Full Text] [Related]
35. Laplacian twin support vector machine for semi-supervised classification.
Qi Z; Tian Y; Shi Y
Neural Netw; 2012 Nov; 35():46-53. PubMed ID: 22954478
[TBL] [Abstract][Full Text] [Related]
36. Utilizing support vector machine in real-time crash risk evaluation.
Yu R; Abdel-Aty M
Accid Anal Prev; 2013 Mar; 51():252-9. PubMed ID: 23287112
[TBL] [Abstract][Full Text] [Related]
37. Near-Bayesian Support Vector Machines for imbalanced data classification with equal or unequal misclassification costs.
Datta S; Das S
Neural Netw; 2015 Oct; 70():39-52. PubMed ID: 26210983
[TBL] [Abstract][Full Text] [Related]
38. Using Lexical Chains to Identify Text Difficulty: A Corpus Statistics and Classification Study.
Mukherjee P; Leroy G; Kauchak D
IEEE J Biomed Health Inform; 2019 Sep; 23(5):2164-2173. PubMed ID: 30530380
[TBL] [Abstract][Full Text] [Related]
39. Modified Mahalanobis Taguchi System for Imbalance Data Classification.
El-Banna M
Comput Intell Neurosci; 2017; 2017():5874896. PubMed ID: 28811820
[TBL] [Abstract][Full Text] [Related]
40. Combining gene expression, demographic and clinical data in modeling disease: a case study of bipolar disorder and schizophrenia.
Struyf J; Dobrin S; Page D
BMC Genomics; 2008 Nov; 9():531. PubMed ID: 18992130
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
