2017
Finding useful data across multiple biomedical data repositories using DataMed
Ohno-Machado L, Sansone S, Alter G, Fore I, Grethe J, Xu H, Gonzalez-Beltran A, Rocca-Serra P, Gururaj A, Bell E, Soysal E, Zong N, Kim H. Finding useful data across multiple biomedical data repositories using DataMed. Nature Genetics 2017, 49: 816-819. PMID: 28546571, PMCID: PMC6460922, DOI: 10.1038/ng.3864.Peer-Reviewed Original ResearchConceptsBiomedical data repositoriesHealth big dataData setsKnowledge discoveryBig dataMultiple repositoriesSearch enginesData indexFAIR principlesDataMedData repositoryService providersKnowledge initiativesKnowledge expertsBiomedical research communityResearch communityRepositoryScience landscapeUseful dataInteroperabilityMetadataFindabilitySetEngineData
2000
Unsupervised learning from complex data: the matrix incision tree algorithm.
Kim J, Ohno-Machado L, Kohane I. Unsupervised learning from complex data: the matrix incision tree algorithm. Biocomputing 2000, 30-41. PMID: 11262950, DOI: 10.1142/9789814447362_0004.Peer-Reviewed Original ResearchConceptsHigh-dimensional spaceTree algorithmComplex high-dimensional spacesPredictive model buildingData setsLarge-scale gene expression dataLow-dimensional spaceKnowledge discoveryUnsupervised learningData structureComplex dataNovel methodMeaningful structuresMicroarray data setsDNA microarray data setsAlgorithm
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