2025
Combining Rule-based NLP-lite with Rapid Iterative Chart Adjudication for Creation of a Large, Accurately Curated Cohort from EHR data: A Case Study in the Context of a Clinical Trial Emulation.
Mutalik P, Cheung K, Green J, Buelt-Gebhardt M, Anderson K, Jeanpaul V, McDonald L, Wininger M, Li Y, Rajeevan N, Jessel P, Moore H, Adabag S, Raitt M, Aslan M. Combining Rule-based NLP-lite with Rapid Iterative Chart Adjudication for Creation of a Large, Accurately Curated Cohort from EHR data: A Case Study in the Context of a Clinical Trial Emulation. AMIA Annual Symposium Proceedings 2025, 2024: 847-856. PMID: 40417550, PMCID: PMC12099393.Peer-Reviewed Original ResearchConceptsCorporate Data WarehouseNon-expertsClinical AI applicationsData warehouseAI applicationsVirtual emulationEHR dataClinical decision criteriaExtract informationCurated datasetComputational algorithmDecision criteriaTraining toolEmulationClinical notesStructural dataCase studyAlgorithmEHRDatasetWarehouseComputerInclusion/exclusion decisions
1991
An accelerated 3D maximum likelihood SPECT image reconstruction
Rajeevan N, Penney B, Byrne C. An accelerated 3D maximum likelihood SPECT image reconstruction. 1991, 1963-1968 vol.3. DOI: 10.1109/nssmic.1991.259260.Peer-Reviewed Original ResearchVector extrapolation techniquesMLE algorithmImage reconstructionProjector-backprojector pairSPECT image reconstructionIterative algorithmAlgorithmComputation timeScheme resultsMaximum likelihood estimationAcceleration schemeSPECT systemExtrapolation techniquePatient dataBlurComputerTwo-DimensionalScheme
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