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
2007
SMART—An Integrated Wireless System for Monitoring Unattended Patients
Curtis D, Pino E, Bailey J, Shih E, Waterman J, Vinterbo S, Stair T, Guttag J, Greenes R, Ohno-Machado L. SMART—An Integrated Wireless System for Monitoring Unattended Patients. Journal Of The American Medical Informatics Association 2007, 15: 44-53. PMID: 17947629, PMCID: PMC2274866, DOI: 10.1197/jamia.m2016.Peer-Reviewed Original Research