2025
Visualizing functional network connectivity differences using an explainable machine-learning method
Sendi M, Itkyal V, Edwards-Swart S, Chun J, Mathalon D, Ford J, Preda A, van Erp T, Pearlson G, Turner J, Calhoun V. Visualizing functional network connectivity differences using an explainable machine-learning method. Physiological Measurement 2025, 46: 045009. PMID: 40245920, DOI: 10.1088/1361-6579/adce52.Peer-Reviewed Original ResearchConceptsCognitive control networkFunctional network connectivitySubcortical networksSHapley Additive exPlanationsExplainable machine learningMachine learning modelsStatistical learning approachResting-state functional magnetic resonance imagingFunctional magnetic resonance imagingClassification accuracyLack interpretabilityMachine-learning methodsMachine learningSynthetic dataLearning approachLearning modelsNetwork connectivityAging AdultsRandom forestOlder aged adultsNetworkSomatomotor networkConnectivity differencesNeural mechanismsCatBoost modelPerformance Evaluation of Algorithms to Estimate Daily Sedentary Time Using Wrist-Worn Sensors in Free-Living Adults
Matthews C, Saint-Maurice P, Freeman J, Hayes H, Shreves A, Doherty A, Hyde E, Ylarregui K, Jones R, Keadle S. Performance Evaluation of Algorithms to Estimate Daily Sedentary Time Using Wrist-Worn Sensors in Free-Living Adults. Journal For The Measurement Of Physical Behaviour 2025, 8 DOI: 10.1123/jmpb.2024-0051.Peer-Reviewed Original ResearchEstimate sedentary timeSedentary timeFree-living adultsCut-pointsEstimates of sedentary timeDaily sedentary timeFree-Living SettingsWrist-worn sensorLinear regressionValid daysActivPALAdultsMachine-learning algorithmsClassification algorithmsMachine-learning methodsPerformance evaluationMachine-learningAlgorithmGENEActivEquivalence testingDevelopment studiesRegressionAlgorithm estimationSensorAccurate performance
2020
BrainIAK tutorials: User-friendly learning materials for advanced fMRI analysis
Kumar M, Ellis CT, Lu Q, Zhang H, Capotă M, Willke TL, Ramadge PJ, Turk-Browne NB, Norman KA. BrainIAK tutorials: User-friendly learning materials for advanced fMRI analysis. PLOS Computational Biology 2020, 16: e1007549. PMID: 31940340, PMCID: PMC6961866, DOI: 10.1371/journal.pcbi.1007549.Peer-Reviewed Original ResearchConceptsOpen-source Python software packageHigh-performance computing clusterNew programming languageOpen source softwareMachine-learning methodsPython software packageHigh-dimensional fMRI dataComputing clusterFile handlingMachine learningProgramming languageNovice usersDifferent softwareLarge memoryPython packageCustom codeSoftware packageSteep learning curveAdvanced toolsEfficient techniqueMarkov modelEvent segmentationReal-time fMRIAnalysis packageSoftware
2011
Using statistical and machine learning to help institutions detect suspicious access to electronic health records
Boxwala A, Kim J, Grillo J, Ohno-Machado L. Using statistical and machine learning to help institutions detect suspicious access to electronic health records. Journal Of The American Medical Informatics Association 2011, 18: 498-505. PMID: 21672912, PMCID: PMC3128412, DOI: 10.1136/amiajnl-2011-000217.Peer-Reviewed Original ResearchConceptsSuspicious accessMachine-learning methodsPrivacy officersMachine learning techniquesVector machine modelAccess logsElectronic health recordsBaseline methodsAccess dataCross-validation setGold standard setSVM modelWhole data setMachine modelBaseline modelOrganizational dataHealth recordsData setsSVM
2001
A Comparison of Machine Learning Methods for the Diagnosis of Pigmented Skin Lesions
Dreiseitl S, Ohno-Machado L, Kittler H, Vinterbo S, Billhardt H, Binder M. A Comparison of Machine Learning Methods for the Diagnosis of Pigmented Skin Lesions. Journal Of Biomedical Informatics 2001, 34: 28-36. PMID: 11376540, DOI: 10.1006/jbin.2001.1004.Peer-Reviewed Original ResearchConceptsArtificial neural networkDichotomous problemNearest neighborsDifferent classification tasksSpecific classification problemMachine learning methodsMachine-learning methodsClassification taskClassification problemNeural networkLearning methodsDecision tressPigmented skin lesionsVector machineDecision treeTaskNeighborsSVMMachineNetworkBenchmarksCommon neviMethodExcellent results
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