2019
Machine Learning in Relation to Emergency Medicine Clinical and Operational Scenarios: An Overview
Lee S, Mohr N, Street W, Nadkarni P. Machine Learning in Relation to Emergency Medicine Clinical and Operational Scenarios: An Overview. Western Journal Of Emergency Medicine 2019, 20: 219-227. PMID: 30881539, PMCID: PMC6404711, DOI: 10.5811/westjem.2019.1.41244.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsDocumentationEmergency Medical ServicesEmergency MedicineHumansMachine LearningMedical InformaticsNatural Language ProcessingConceptsNatural language processingHealth informaticsMachine-learning algorithmsHealth informatics toolsArtificial intelligenceMachine learningLanguage processingVital technologyInformaticsInformatics toolsEmergency careOperational scenariosEmergency medicineCurrent stateHealthcare providersClinical useHealthcare settingsIntelligencePractice changeMachineAlgorithmToolEM cliniciansPowerful toolProminent development
2004
Approaches and Informatics Tools to Assist in the Integration of Similar Clinical Research Questionnaires
Brandt CA, Cohen DB, Shifman MA, Miller PL, Nadkarni PM, Frawley SJ. Approaches and Informatics Tools to Assist in the Integration of Similar Clinical Research Questionnaires. Methods Of Information In Medicine 2004, 43: 156-162. PMID: 15136865, DOI: 10.1055/s-0038-1633854.Peer-Reviewed Original Research
1998
The Human Brain Project: neuroinformatics tools for integrating, searching and modeling multidisciplinary neuroscience data
Shepherd G, Mirsky J, Healy M, Singer M, Skoufos E, Hines M, Nadkarni P, Miller P. The Human Brain Project: neuroinformatics tools for integrating, searching and modeling multidisciplinary neuroscience data. Trends In Neurosciences 1998, 21: 460-468. PMID: 9829685, DOI: 10.1016/s0166-2236(98)01300-9.Peer-Reviewed Original Research