2012
Predicting accurate probabilities with a ranking loss.
Menon A, Jiang X, Vembu S, Elkan C, Ohno-Machado L. Predicting accurate probabilities with a ranking loss. Proceedings Of The ... International Conference On Machine Learning. 2012, 2012: 703-710. PMID: 25285328, PMCID: PMC4180410.Peer-Reviewed Original ResearchReal-world applicationsProbability distributionStatistical workhorseIsotonic regressionAccurate probabilityParticular classProbability predictionRegression performanceSemi-parametric techniquesRanking lossRich setBest rankingProbabilityExperimental resultsClassifierApplicationsMachineTechniqueClassSimple technique
2011
Anomaly and signature filtering improve classifier performance for detection of suspicious access to EHRs.
Kim J, Grillo J, Boxwala A, Jiang X, Mandelbaum R, Patel B, Mikels D, Vinterbo S, Ohno-Machado L. Anomaly and signature filtering improve classifier performance for detection of suspicious access to EHRs. AMIA Annual Symposium Proceedings 2011, 2011: 723-31. PMID: 22195129, PMCID: PMC3243249.Peer-Reviewed Original ResearchConceptsSuspicious accessAccess recordsRule-based techniquesMachine learning methodsConstruction of classifiersAnomaly detectionInformative instancesLearning methodsSymbolic clusteringClassifier performanceSignature detectionIndependent test setInappropriate accessTest setEHRFiltering methodIntegrated filtering strategyFiltering strategyClassifierFilteringNegative rateFalse negative rateAccessDetectionClustering
2005
Small, fuzzy and interpretable gene expression based classifiers
Vinterbo S, Kim E, Ohno-Machado L. Small, fuzzy and interpretable gene expression based classifiers. Bioinformatics 2005, 21: 1964-1970. PMID: 15661797, DOI: 10.1093/bioinformatics/bti287.Peer-Reviewed Original Research
2004
The Goodman-Kruskal coefficient and its applications in genetic diagnosis of cancer
Jaroszewicz S, Simovici D, Kuo W, Ohno-Machado L. The Goodman-Kruskal coefficient and its applications in genetic diagnosis of cancer. IEEE Transactions On Biomedical Engineering 2004, 51: 1095-1102. PMID: 15248526, DOI: 10.1109/tbme.2004.827267.Peer-Reviewed Original Research
1998
Building manageable rough set classifiers.
Ohrn A, Ohno-Machado L, Rowland T. Building manageable rough set classifiers. AMIA Annual Symposium Proceedings 1998, 543-7. PMID: 9929278, PMCID: PMC2232320.Peer-Reviewed Original ResearchConceptsReal-world medical datasetsRule-based classifierRough set classifierRough set theoryKnowledge discoveryData miningMedical datasetsBoolean reasoningSet classifierSet theoryClassifierBetter performanceSmall modelsMiningAvailable informationDatasetReasoningInteresting aspectsModelCapabilityInformationSetInspectionRulesPerformance